Overview

Brought to you by YData

Dataset statistics

Number of variables	39
Number of observations	20358
Missing cells	106723
Missing cells (%)	13.4%
Duplicate rows	579
Duplicate rows (%)	2.8%
Total size in memory	43.1 MiB
Average record size in memory	2.2 KiB

Variable types

Numeric	10
Categorical	2
Text	10
URL	12
Unsupported	1
Boolean	2
DateTime	2

Alerts

`hireable` has constant value "True"	Constant
Dataset has 579 (2.8%) duplicate rows	Duplicates
`actor_id` is highly overall correlated with `id` and 2 other fields	High correlation
`followers` is highly overall correlated with `following` and 6 other fields	High correlation
`following` is highly overall correlated with `followers` and 4 other fields	High correlation
`id` is highly overall correlated with `actor_id` and 2 other fields	High correlation
`log_followers` is highly overall correlated with `followers` and 6 other fields	High correlation
`log_following` is highly overall correlated with `followers` and 4 other fields	High correlation
`log_public_gists` is highly overall correlated with `actor_id` and 6 other fields	High correlation
`log_public_repos` is highly overall correlated with `followers` and 6 other fields	High correlation
`public_gists` is highly overall correlated with `actor_id` and 6 other fields	High correlation
`public_repos` is highly overall correlated with `followers` and 6 other fields	High correlation
`label` is highly imbalanced (67.3%)	Imbalance
`type` is highly imbalanced (92.9%)	Imbalance
`site_admin` is highly imbalanced (95.8%)	Imbalance
`gravatar_id` has 20358 (100.0%) missing values	Missing
`name` has 2654 (13.0%) missing values	Missing
`company` has 9229 (45.3%) missing values	Missing
`blog` has 11601 (57.0%) missing values	Missing
`location` has 7287 (35.8%) missing values	Missing
`email` has 12079 (59.3%) missing values	Missing
`hireable` has 16956 (83.3%) missing values	Missing
`bio` has 11262 (55.3%) missing values	Missing
`twitter_username` has 15297 (75.1%) missing values	Missing
`public_repos` is highly skewed (γ1 = 54.5933405)	Skewed
`public_gists` is highly skewed (γ1 = 75.17157706)	Skewed
`followers` is highly skewed (γ1 = 32.59104167)	Skewed
`following` is highly skewed (γ1 = 40.24260606)	Skewed
`gravatar_id` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`public_repos` has 964 (4.7%) zeros	Zeros
`public_gists` has 8176 (40.2%) zeros	Zeros
`followers` has 1476 (7.3%) zeros	Zeros
`following` has 6189 (30.4%) zeros	Zeros
`log_public_repos` has 964 (4.7%) zeros	Zeros
`log_public_gists` has 8176 (40.2%) zeros	Zeros
`log_followers` has 1476 (7.3%) zeros	Zeros
`log_following` has 6189 (30.4%) zeros	Zeros

Reproduction

Analysis started	2024-11-22 14:03:41.664940
Analysis finished	2024-11-22 14:04:09.530674
Duration	27.87 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

actor_id
Real number (ℝ)

High correlation

Distinct	19768
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18757086

Minimum	69
Maximum	96406270
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	159.2 KiB

Quantile statistics

Minimum	69
5-th percentile	113268.75
Q1	1593194
median	7942180.5
Q3	29485533
95-th percentile	69631376
Maximum	96406270
Range	96406201
Interquartile range (IQR)	27892339

Descriptive statistics

Standard deviation	22858420
Coefficient of variation (CV)	1.2186552
Kurtosis	0.80517643
Mean	18757086
Median Absolute Deviation (MAD)	7442694
Skewness	1.3549138
Sum	3.8185675 × 10¹¹
Variance	5.2250735 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18622487	2	< 0.1%
37061471	2	< 0.1%
579279	2	< 0.1%
24435886	2	< 0.1%
11667869	2	< 0.1%
277935	2	< 0.1%
17150045	2	< 0.1%
6065744	2	< 0.1%
50326704	2	< 0.1%
12870617	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
69	1	< 0.1%
80	1	< 0.1%
139	1	< 0.1%
141	1	< 0.1%
159	1	< 0.1%
188	1	< 0.1%
211	1	< 0.1%
233	1	< 0.1%
235	1	< 0.1%
240	1	< 0.1%

Value	Count	Frequency (%)
96406270	1	< 0.1%
95870427	1	< 0.1%
95593389	1	< 0.1%
95284144	1	< 0.1%
94929125	2	< 0.1%
94928193	1	< 0.1%
94923726	1	< 0.1%
94846361	1	< 0.1%
94798230	1	< 0.1%
94591206	1	< 0.1%

label
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

Human	19140
Bot	1218

Length

Max length	5
Median length	5
Mean length	4.8803419
Min length	3

Characters and Unicode

Total characters	99354
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Human
2nd row	Human
3rd row	Human
4th row	Bot
5th row	Human

Common Values

Value	Count	Frequency (%)
Human	19140	94.0%
Bot	1218	6.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
human	19140	94.0%
bot	1218	6.0%

Most occurring characters

Value	Count	Frequency (%)
H	19140	19.3%
u	19140	19.3%
m	19140	19.3%
a	19140	19.3%
n	19140	19.3%
B	1218	1.2%
o	1218	1.2%
t	1218	1.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	78996	79.5%
Uppercase Letter	20358	20.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	19140	24.2%
m	19140	24.2%
a	19140	24.2%
n	19140	24.2%
o	1218	1.5%
t	1218	1.5%

Uppercase Letter

Value	Count	Frequency (%)
H	19140	94.0%
B	1218	6.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	99354	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
H	19140	19.3%
u	19140	19.3%
m	19140	19.3%
a	19140	19.3%
n	19140	19.3%
B	1218	1.2%
o	1218	1.2%
t	1218	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	99354	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
H	19140	19.3%
u	19140	19.3%
m	19140	19.3%
a	19140	19.3%
n	19140	19.3%
B	1218	1.2%
o	1218	1.2%
t	1218	1.2%

Distinct	19768
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Length

Max length	35
Median length	30
Mean length	9.3264073
Min length	1

Characters and Unicode

Total characters	189867
Distinct characters	65
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19178 ?
Unique (%)	94.2%

Sample

1st row	dlazesz
2nd row	sarkiroka
3rd row	ZoomQuiet
4th row	AlCutter
5th row	meetyan

Value	Count	Frequency (%)
g3rrus	2	< 0.1%
fractalwrench	2	< 0.1%
gruselhaus	2	< 0.1%
quodlibetor	2	< 0.1%
m1yag1	2	< 0.1%
agusioma	2	< 0.1%
ssreerama	2	< 0.1%
alexanderzobnin	2	< 0.1%
l1t1	2	< 0.1%
xuwei-k	2	< 0.1%
Other values (19758)	20338	99.9%

Most occurring characters

Value	Count	Frequency (%)
a	18606	9.8%
e	15853	8.3%
i	12452	6.6%
n	12246	6.4%
r	12001	6.3%
o	11776	6.2%
s	9467	5.0%
t	8605	4.5%
l	8492	4.5%
h	6634	3.5%
Other values (55)	73735	38.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	171560	90.4%
Uppercase Letter	8534	4.5%
Decimal Number	6605	3.5%
Dash Punctuation	2822	1.5%
Open Punctuation	173	0.1%
Close Punctuation	173	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	18606	10.8%
e	15853	9.2%
i	12452	7.3%
n	12246	7.1%
r	12001	7.0%
o	11776	6.9%
s	9467	5.5%
t	8605	5.0%
l	8492	4.9%
h	6634	3.9%
Other values (16)	55428	32.3%

Uppercase Letter

Value	Count	Frequency (%)
S	838	9.8%
M	704	8.2%
A	602	7.1%
T	507	5.9%
C	482	5.6%
D	454	5.3%
B	431	5.1%
R	416	4.9%
J	411	4.8%
L	395	4.6%
Other values (16)	3294	38.6%

Decimal Number

Value	Count	Frequency (%)
1	1232	18.7%
0	1112	16.8%
2	887	13.4%
3	634	9.6%
9	628	9.5%
7	463	7.0%
8	458	6.9%
4	453	6.9%
5	378	5.7%
6	360	5.5%

Dash Punctuation

Value	Count	Frequency (%)
-	2822	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	173	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	173	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	180094	94.9%
Common	9773	5.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	18606	10.3%
e	15853	8.8%
i	12452	6.9%
n	12246	6.8%
r	12001	6.7%
o	11776	6.5%
s	9467	5.3%
t	8605	4.8%
l	8492	4.7%
h	6634	3.7%
Other values (42)	63962	35.5%

Common

Value	Count	Frequency (%)
-	2822	28.9%
1	1232	12.6%
0	1112	11.4%
2	887	9.1%
3	634	6.5%
9	628	6.4%
7	463	4.7%
8	458	4.7%
4	453	4.6%
5	378	3.9%
Other values (3)	706	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	189867	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	18606	9.8%
e	15853	8.3%
i	12452	6.6%
n	12246	6.4%
r	12001	6.3%
o	11776	6.2%
s	9467	5.0%
t	8605	4.5%
l	8492	4.5%
h	6634	3.5%
Other values (55)	73735	38.8%

id
Real number (ℝ)

High correlation

Distinct	19768
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18757086

Minimum	69
Maximum	96406270
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	159.2 KiB

Quantile statistics

Minimum	69
5-th percentile	113268.75
Q1	1593194
median	7942180.5
Q3	29485533
95-th percentile	69631376
Maximum	96406270
Range	96406201
Interquartile range (IQR)	27892339

Descriptive statistics

Standard deviation	22858420
Coefficient of variation (CV)	1.2186552
Kurtosis	0.80517643
Mean	18757086
Median Absolute Deviation (MAD)	7442694
Skewness	1.3549138
Sum	3.8185675 × 10¹¹
Variance	5.2250735 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18622487	2	< 0.1%
37061471	2	< 0.1%
579279	2	< 0.1%
24435886	2	< 0.1%
11667869	2	< 0.1%
277935	2	< 0.1%
17150045	2	< 0.1%
6065744	2	< 0.1%
50326704	2	< 0.1%
12870617	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
69	1	< 0.1%
80	1	< 0.1%
139	1	< 0.1%
141	1	< 0.1%
159	1	< 0.1%
188	1	< 0.1%
211	1	< 0.1%
233	1	< 0.1%
235	1	< 0.1%
240	1	< 0.1%

Value	Count	Frequency (%)
96406270	1	< 0.1%
95870427	1	< 0.1%
95593389	1	< 0.1%
95284144	1	< 0.1%
94929125	2	< 0.1%
94928193	1	< 0.1%
94923726	1	< 0.1%
94846361	1	< 0.1%
94798230	1	< 0.1%
94591206	1	< 0.1%

node_id
Text

Distinct	19768
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

Length

Max length	20
Median length	20
Mean length	19.793693
Min length	12

Characters and Unicode

Total characters	402960
Distinct characters	64
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19178 ?
Unique (%)	94.2%

Sample

1st row	MDQ6VXNlcjEwODE0MDU=
2nd row	MDQ6VXNlcjEzMTAwNTk4
3rd row	MDQ6VXNlcjIyNDk0
4th row	MDQ6VXNlcjc2NDgwMzI=
5th row	MDQ6VXNlcjIxNjM1MjI=

Value	Count	Frequency (%)
mdq6vxnlcje4njiyndg3	2	< 0.1%
mdq6vxnlcjexodawnjqw	2	< 0.1%
mdq6vxnlcjmzmzgwmta3	2	< 0.1%
mdq6vxnlcji3nze2mq	2	< 0.1%
mdq6vxnlcjg3mza0mza	2	< 0.1%
mdq6vxnlcjq5mde5odi1	2	< 0.1%
mdq6vxnlcjc0ntcxodi5	2	< 0.1%
mdq6vxnlcjq5mzi4nte	2	< 0.1%
mdq6vxnlcjizmzaxnza0	2	< 0.1%
mdq6vxnlcjm4otc4nw	2	< 0.1%
Other values (19758)	20338	99.9%

Most occurring characters

Value	Count	Frequency (%)
M	42807	10.6%
N	35997	8.9%
D	31349	7.8%
j	27490	6.8%
Q	26949	6.7%
c	25144	6.2%
6	20296	5.0%
X	20146	5.0%
V	20128	5.0%
l	20126	5.0%
Other values (54)	132528	32.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	227975	56.6%
Lowercase Letter	111704	27.7%
Decimal Number	49696	12.3%
Math Symbol	13518	3.4%
Connector Punctuation	66	< 0.1%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	42807	18.8%
N	35997	15.8%
D	31349	13.8%
Q	26949	11.8%
X	20146	8.8%
V	20128	8.8%
T	11039	4.8%
E	9006	4.0%
O	7888	3.5%
I	6660	2.9%
Other values (16)	16006	7.0%

Lowercase Letter

Value	Count	Frequency (%)
j	27490	24.6%
c	25144	22.5%
l	20126	18.0%
z	12443	11.1%
w	5964	5.3%
g	5622	5.0%
y	5111	4.6%
x	4991	4.5%
k	4576	4.1%
m	174	0.2%
Other values (15)	63	0.1%

Decimal Number

Value	Count	Frequency (%)
6	20296	40.8%
0	5139	10.3%
2	4918	9.9%
3	4836	9.7%
1	4832	9.7%
4	4768	9.6%
5	4724	9.5%
9	174	0.4%
8	6	< 0.1%
7	3	< 0.1%

Math Symbol

Value	Count	Frequency (%)
=	13518	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	66	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	339679	84.3%
Common	63281	15.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	42807	12.6%
N	35997	10.6%
D	31349	9.2%
j	27490	8.1%
Q	26949	7.9%
c	25144	7.4%
X	20146	5.9%
V	20128	5.9%
l	20126	5.9%
z	12443	3.7%
Other values (41)	77100	22.7%

Common

Value	Count	Frequency (%)
6	20296	32.1%
=	13518	21.4%
0	5139	8.1%
2	4918	7.8%
3	4836	7.6%
1	4832	7.6%
4	4768	7.5%
5	4724	7.5%
9	174	0.3%
_	66	0.1%
Other values (3)	10	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	402960	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	42807	10.6%
N	35997	8.9%
D	31349	7.8%
j	27490	6.8%
Q	26949	6.7%
c	25144	6.2%
6	20296	5.0%
X	20146	5.0%
V	20128	5.0%
l	20126	5.0%
Other values (54)	132528	32.9%

avatar_url
URL

Distinct	19761
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

https://avatars.githubusercontent.com/u/41768318?v=4	4
https://avatars.githubusercontent.com/u/18622487?v=4	2
https://avatars.githubusercontent.com/u/6065744?v=4	2
https://avatars.githubusercontent.com/u/3245568?v=4	2
https://avatars.githubusercontent.com/u/579279?v=4	2
Other values (19756)	20346

Value	Count	Frequency (%)
https://avatars.githubusercontent.com/u/41768318?v=4	4	< 0.1%
https://avatars.githubusercontent.com/u/18622487?v=4	2	< 0.1%
https://avatars.githubusercontent.com/u/6065744?v=4	2	< 0.1%
https://avatars.githubusercontent.com/u/3245568?v=4	2	< 0.1%
https://avatars.githubusercontent.com/u/579279?v=4	2	< 0.1%
https://avatars.githubusercontent.com/u/24435886?v=4	2	< 0.1%
https://avatars.githubusercontent.com/u/11667869?v=4	2	< 0.1%
https://avatars.githubusercontent.com/u/277935?v=4	2	< 0.1%
https://avatars.githubusercontent.com/u/17150045?v=4	2	< 0.1%
https://avatars.githubusercontent.com/u/37061471?v=4	2	< 0.1%
Other values (19751)	20336	99.9%

Value	Count	Frequency (%)
https	20358	100.0%

Value	Count	Frequency (%)
avatars.githubusercontent.com	20358	100.0%

Value	Count	Frequency (%)
/u/41768318	4	< 0.1%
/u/18622487	2	< 0.1%
/u/6065744	2	< 0.1%
/u/3245568	2	< 0.1%
/u/579279	2	< 0.1%
/u/24435886	2	< 0.1%
/u/11667869	2	< 0.1%
/u/277935	2	< 0.1%
/u/17150045	2	< 0.1%
/u/37061471	2	< 0.1%
Other values (19751)	20336	99.9%

Value	Count	Frequency (%)
v=4	20358	100.0%

Value	Count	Frequency (%)
	20358	100.0%

gravatar_id
Unsupported

Missing Rejected Unsupported

Missing	20358
Missing (%)	100.0%
Memory size	159.2 KiB

url
URL

Distinct	19768
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

https://api.github.com/users/G3rrus	2
https://api.github.com/users/ashwin1111	2
https://api.github.com/users/jfrolich	2
https://api.github.com/users/tsocha	2
https://api.github.com/users/thesamesam	2
Other values (19763)	20348

Value	Count	Frequency (%)
https://api.github.com/users/G3rrus	2	< 0.1%
https://api.github.com/users/ashwin1111	2	< 0.1%
https://api.github.com/users/jfrolich	2	< 0.1%
https://api.github.com/users/tsocha	2	< 0.1%
https://api.github.com/users/thesamesam	2	< 0.1%
https://api.github.com/users/plusgut	2	< 0.1%
https://api.github.com/users/vincenzopalazzo	2	< 0.1%
https://api.github.com/users/alexandrebodin	2	< 0.1%
https://api.github.com/users/teizenman	2	< 0.1%
https://api.github.com/users/yopito	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
https	20358	100.0%

Value	Count	Frequency (%)
api.github.com	20358	100.0%

Value	Count	Frequency (%)
/users/G3rrus	2	< 0.1%
/users/ashwin1111	2	< 0.1%
/users/jfrolich	2	< 0.1%
/users/tsocha	2	< 0.1%
/users/thesamesam	2	< 0.1%
/users/plusgut	2	< 0.1%
/users/vincenzopalazzo	2	< 0.1%
/users/alexandrebodin	2	< 0.1%
/users/teizenman	2	< 0.1%
/users/yopito	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
	20358	100.0%

Value	Count	Frequency (%)
	20358	100.0%

html_url
URL

Distinct	19768
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

https://github.com/G3rrus	2
https://github.com/ashwin1111	2
https://github.com/jfrolich	2
https://github.com/tsocha	2
https://github.com/thesamesam	2
Other values (19763)	20348

Value	Count	Frequency (%)
https://github.com/G3rrus	2	< 0.1%
https://github.com/ashwin1111	2	< 0.1%
https://github.com/jfrolich	2	< 0.1%
https://github.com/tsocha	2	< 0.1%
https://github.com/thesamesam	2	< 0.1%
https://github.com/plusgut	2	< 0.1%
https://github.com/vincenzopalazzo	2	< 0.1%
https://github.com/alexandrebodin	2	< 0.1%
https://github.com/teizenman	2	< 0.1%
https://github.com/yopito	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
https	20358	100.0%

Value	Count	Frequency (%)
github.com	20358	100.0%

Value	Count	Frequency (%)
/G3rrus	2	< 0.1%
/ashwin1111	2	< 0.1%
/jfrolich	2	< 0.1%
/tsocha	2	< 0.1%
/thesamesam	2	< 0.1%
/plusgut	2	< 0.1%
/vincenzopalazzo	2	< 0.1%
/alexandrebodin	2	< 0.1%
/teizenman	2	< 0.1%
/yopito	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
	20358	100.0%

Value	Count	Frequency (%)
	20358	100.0%

followers_url
URL

Distinct	19768
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

https://api.github.com/users/G3rrus/followers	2
https://api.github.com/users/ashwin1111/followers	2
https://api.github.com/users/jfrolich/followers	2
https://api.github.com/users/tsocha/followers	2
https://api.github.com/users/thesamesam/followers	2
Other values (19763)	20348

Value	Count	Frequency (%)
https://api.github.com/users/G3rrus/followers	2	< 0.1%
https://api.github.com/users/ashwin1111/followers	2	< 0.1%
https://api.github.com/users/jfrolich/followers	2	< 0.1%
https://api.github.com/users/tsocha/followers	2	< 0.1%
https://api.github.com/users/thesamesam/followers	2	< 0.1%
https://api.github.com/users/plusgut/followers	2	< 0.1%
https://api.github.com/users/vincenzopalazzo/followers	2	< 0.1%
https://api.github.com/users/alexandrebodin/followers	2	< 0.1%
https://api.github.com/users/teizenman/followers	2	< 0.1%
https://api.github.com/users/yopito/followers	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
https	20358	100.0%

Value	Count	Frequency (%)
api.github.com	20358	100.0%

Value	Count	Frequency (%)
/users/G3rrus/followers	2	< 0.1%
/users/ashwin1111/followers	2	< 0.1%
/users/jfrolich/followers	2	< 0.1%
/users/tsocha/followers	2	< 0.1%
/users/thesamesam/followers	2	< 0.1%
/users/plusgut/followers	2	< 0.1%
/users/vincenzopalazzo/followers	2	< 0.1%
/users/alexandrebodin/followers	2	< 0.1%
/users/teizenman/followers	2	< 0.1%
/users/yopito/followers	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
	20358	100.0%

Value	Count	Frequency (%)
	20358	100.0%

following_url
URL

Distinct	19768
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

https://api.github.com/users/G3rrus/following{/other_user}	2
https://api.github.com/users/ashwin1111/following{/other_user}	2
https://api.github.com/users/jfrolich/following{/other_user}	2
https://api.github.com/users/tsocha/following{/other_user}	2
https://api.github.com/users/thesamesam/following{/other_user}	2
Other values (19763)	20348

Value	Count	Frequency (%)
https://api.github.com/users/G3rrus/following{/other_user}	2	< 0.1%
https://api.github.com/users/ashwin1111/following{/other_user}	2	< 0.1%
https://api.github.com/users/jfrolich/following{/other_user}	2	< 0.1%
https://api.github.com/users/tsocha/following{/other_user}	2	< 0.1%
https://api.github.com/users/thesamesam/following{/other_user}	2	< 0.1%
https://api.github.com/users/plusgut/following{/other_user}	2	< 0.1%
https://api.github.com/users/vincenzopalazzo/following{/other_user}	2	< 0.1%
https://api.github.com/users/alexandrebodin/following{/other_user}	2	< 0.1%
https://api.github.com/users/teizenman/following{/other_user}	2	< 0.1%
https://api.github.com/users/yopito/following{/other_user}	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
https	20358	100.0%

Value	Count	Frequency (%)
api.github.com	20358	100.0%

Value	Count	Frequency (%)
/users/G3rrus/following{/other_user}	2	< 0.1%
/users/ashwin1111/following{/other_user}	2	< 0.1%
/users/jfrolich/following{/other_user}	2	< 0.1%
/users/tsocha/following{/other_user}	2	< 0.1%
/users/thesamesam/following{/other_user}	2	< 0.1%
/users/plusgut/following{/other_user}	2	< 0.1%
/users/vincenzopalazzo/following{/other_user}	2	< 0.1%
/users/alexandrebodin/following{/other_user}	2	< 0.1%
/users/teizenman/following{/other_user}	2	< 0.1%
/users/yopito/following{/other_user}	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
	20358	100.0%

Value	Count	Frequency (%)
	20358	100.0%

gists_url
URL

Distinct	19768
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

https://api.github.com/users/G3rrus/gists{/gist_id}	2
https://api.github.com/users/ashwin1111/gists{/gist_id}	2
https://api.github.com/users/jfrolich/gists{/gist_id}	2
https://api.github.com/users/tsocha/gists{/gist_id}	2
https://api.github.com/users/thesamesam/gists{/gist_id}	2
Other values (19763)	20348

Value	Count	Frequency (%)
https://api.github.com/users/G3rrus/gists{/gist_id}	2	< 0.1%
https://api.github.com/users/ashwin1111/gists{/gist_id}	2	< 0.1%
https://api.github.com/users/jfrolich/gists{/gist_id}	2	< 0.1%
https://api.github.com/users/tsocha/gists{/gist_id}	2	< 0.1%
https://api.github.com/users/thesamesam/gists{/gist_id}	2	< 0.1%
https://api.github.com/users/plusgut/gists{/gist_id}	2	< 0.1%
https://api.github.com/users/vincenzopalazzo/gists{/gist_id}	2	< 0.1%
https://api.github.com/users/alexandrebodin/gists{/gist_id}	2	< 0.1%
https://api.github.com/users/teizenman/gists{/gist_id}	2	< 0.1%
https://api.github.com/users/yopito/gists{/gist_id}	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
https	20358	100.0%

Value	Count	Frequency (%)
api.github.com	20358	100.0%

Value	Count	Frequency (%)
/users/G3rrus/gists{/gist_id}	2	< 0.1%
/users/ashwin1111/gists{/gist_id}	2	< 0.1%
/users/jfrolich/gists{/gist_id}	2	< 0.1%
/users/tsocha/gists{/gist_id}	2	< 0.1%
/users/thesamesam/gists{/gist_id}	2	< 0.1%
/users/plusgut/gists{/gist_id}	2	< 0.1%
/users/vincenzopalazzo/gists{/gist_id}	2	< 0.1%
/users/alexandrebodin/gists{/gist_id}	2	< 0.1%
/users/teizenman/gists{/gist_id}	2	< 0.1%
/users/yopito/gists{/gist_id}	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
	20358	100.0%

Value	Count	Frequency (%)
	20358	100.0%

starred_url
URL

Distinct	19768
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

https://api.github.com/users/G3rrus/starred{/owner}{/repo}	2
https://api.github.com/users/ashwin1111/starred{/owner}{/repo}	2
https://api.github.com/users/jfrolich/starred{/owner}{/repo}	2
https://api.github.com/users/tsocha/starred{/owner}{/repo}	2
https://api.github.com/users/thesamesam/starred{/owner}{/repo}	2
Other values (19763)	20348

Value	Count	Frequency (%)
https://api.github.com/users/G3rrus/starred{/owner}{/repo}	2	< 0.1%
https://api.github.com/users/ashwin1111/starred{/owner}{/repo}	2	< 0.1%
https://api.github.com/users/jfrolich/starred{/owner}{/repo}	2	< 0.1%
https://api.github.com/users/tsocha/starred{/owner}{/repo}	2	< 0.1%
https://api.github.com/users/thesamesam/starred{/owner}{/repo}	2	< 0.1%
https://api.github.com/users/plusgut/starred{/owner}{/repo}	2	< 0.1%
https://api.github.com/users/vincenzopalazzo/starred{/owner}{/repo}	2	< 0.1%
https://api.github.com/users/alexandrebodin/starred{/owner}{/repo}	2	< 0.1%
https://api.github.com/users/teizenman/starred{/owner}{/repo}	2	< 0.1%
https://api.github.com/users/yopito/starred{/owner}{/repo}	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
https	20358	100.0%

Value	Count	Frequency (%)
api.github.com	20358	100.0%

Value	Count	Frequency (%)
/users/G3rrus/starred{/owner}{/repo}	2	< 0.1%
/users/ashwin1111/starred{/owner}{/repo}	2	< 0.1%
/users/jfrolich/starred{/owner}{/repo}	2	< 0.1%
/users/tsocha/starred{/owner}{/repo}	2	< 0.1%
/users/thesamesam/starred{/owner}{/repo}	2	< 0.1%
/users/plusgut/starred{/owner}{/repo}	2	< 0.1%
/users/vincenzopalazzo/starred{/owner}{/repo}	2	< 0.1%
/users/alexandrebodin/starred{/owner}{/repo}	2	< 0.1%
/users/teizenman/starred{/owner}{/repo}	2	< 0.1%
/users/yopito/starred{/owner}{/repo}	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
	20358	100.0%

Value	Count	Frequency (%)
	20358	100.0%

subscriptions_url
URL

Distinct	19768
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

https://api.github.com/users/G3rrus/subscriptions	2
https://api.github.com/users/ashwin1111/subscriptions	2
https://api.github.com/users/jfrolich/subscriptions	2
https://api.github.com/users/tsocha/subscriptions	2
https://api.github.com/users/thesamesam/subscriptions	2
Other values (19763)	20348

Value	Count	Frequency (%)
https://api.github.com/users/G3rrus/subscriptions	2	< 0.1%
https://api.github.com/users/ashwin1111/subscriptions	2	< 0.1%
https://api.github.com/users/jfrolich/subscriptions	2	< 0.1%
https://api.github.com/users/tsocha/subscriptions	2	< 0.1%
https://api.github.com/users/thesamesam/subscriptions	2	< 0.1%
https://api.github.com/users/plusgut/subscriptions	2	< 0.1%
https://api.github.com/users/vincenzopalazzo/subscriptions	2	< 0.1%
https://api.github.com/users/alexandrebodin/subscriptions	2	< 0.1%
https://api.github.com/users/teizenman/subscriptions	2	< 0.1%
https://api.github.com/users/yopito/subscriptions	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
https	20358	100.0%

Value	Count	Frequency (%)
api.github.com	20358	100.0%

Value	Count	Frequency (%)
/users/G3rrus/subscriptions	2	< 0.1%
/users/ashwin1111/subscriptions	2	< 0.1%
/users/jfrolich/subscriptions	2	< 0.1%
/users/tsocha/subscriptions	2	< 0.1%
/users/thesamesam/subscriptions	2	< 0.1%
/users/plusgut/subscriptions	2	< 0.1%
/users/vincenzopalazzo/subscriptions	2	< 0.1%
/users/alexandrebodin/subscriptions	2	< 0.1%
/users/teizenman/subscriptions	2	< 0.1%
/users/yopito/subscriptions	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
	20358	100.0%

Value	Count	Frequency (%)
	20358	100.0%

organizations_url
URL

Distinct	19768
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

https://api.github.com/users/G3rrus/orgs	2
https://api.github.com/users/ashwin1111/orgs	2
https://api.github.com/users/jfrolich/orgs	2
https://api.github.com/users/tsocha/orgs	2
https://api.github.com/users/thesamesam/orgs	2
Other values (19763)	20348

Value	Count	Frequency (%)
https://api.github.com/users/G3rrus/orgs	2	< 0.1%
https://api.github.com/users/ashwin1111/orgs	2	< 0.1%
https://api.github.com/users/jfrolich/orgs	2	< 0.1%
https://api.github.com/users/tsocha/orgs	2	< 0.1%
https://api.github.com/users/thesamesam/orgs	2	< 0.1%
https://api.github.com/users/plusgut/orgs	2	< 0.1%
https://api.github.com/users/vincenzopalazzo/orgs	2	< 0.1%
https://api.github.com/users/alexandrebodin/orgs	2	< 0.1%
https://api.github.com/users/teizenman/orgs	2	< 0.1%
https://api.github.com/users/yopito/orgs	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
https	20358	100.0%

Value	Count	Frequency (%)
api.github.com	20358	100.0%

Value	Count	Frequency (%)
/users/G3rrus/orgs	2	< 0.1%
/users/ashwin1111/orgs	2	< 0.1%
/users/jfrolich/orgs	2	< 0.1%
/users/tsocha/orgs	2	< 0.1%
/users/thesamesam/orgs	2	< 0.1%
/users/plusgut/orgs	2	< 0.1%
/users/vincenzopalazzo/orgs	2	< 0.1%
/users/alexandrebodin/orgs	2	< 0.1%
/users/teizenman/orgs	2	< 0.1%
/users/yopito/orgs	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
	20358	100.0%

Value	Count	Frequency (%)
	20358	100.0%

repos_url
URL

Distinct	19768
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

https://api.github.com/users/G3rrus/repos	2
https://api.github.com/users/ashwin1111/repos	2
https://api.github.com/users/jfrolich/repos	2
https://api.github.com/users/tsocha/repos	2
https://api.github.com/users/thesamesam/repos	2
Other values (19763)	20348

Value	Count	Frequency (%)
https://api.github.com/users/G3rrus/repos	2	< 0.1%
https://api.github.com/users/ashwin1111/repos	2	< 0.1%
https://api.github.com/users/jfrolich/repos	2	< 0.1%
https://api.github.com/users/tsocha/repos	2	< 0.1%
https://api.github.com/users/thesamesam/repos	2	< 0.1%
https://api.github.com/users/plusgut/repos	2	< 0.1%
https://api.github.com/users/vincenzopalazzo/repos	2	< 0.1%
https://api.github.com/users/alexandrebodin/repos	2	< 0.1%
https://api.github.com/users/teizenman/repos	2	< 0.1%
https://api.github.com/users/yopito/repos	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
https	20358	100.0%

Value	Count	Frequency (%)
api.github.com	20358	100.0%

Value	Count	Frequency (%)
/users/G3rrus/repos	2	< 0.1%
/users/ashwin1111/repos	2	< 0.1%
/users/jfrolich/repos	2	< 0.1%
/users/tsocha/repos	2	< 0.1%
/users/thesamesam/repos	2	< 0.1%
/users/plusgut/repos	2	< 0.1%
/users/vincenzopalazzo/repos	2	< 0.1%
/users/alexandrebodin/repos	2	< 0.1%
/users/teizenman/repos	2	< 0.1%
/users/yopito/repos	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
	20358	100.0%

Value	Count	Frequency (%)
	20358	100.0%

events_url
URL

Distinct	19768
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

https://api.github.com/users/G3rrus/events{/privacy}	2
https://api.github.com/users/ashwin1111/events{/privacy}	2
https://api.github.com/users/jfrolich/events{/privacy}	2
https://api.github.com/users/tsocha/events{/privacy}	2
https://api.github.com/users/thesamesam/events{/privacy}	2
Other values (19763)	20348

Value	Count	Frequency (%)
https://api.github.com/users/G3rrus/events{/privacy}	2	< 0.1%
https://api.github.com/users/ashwin1111/events{/privacy}	2	< 0.1%
https://api.github.com/users/jfrolich/events{/privacy}	2	< 0.1%
https://api.github.com/users/tsocha/events{/privacy}	2	< 0.1%
https://api.github.com/users/thesamesam/events{/privacy}	2	< 0.1%
https://api.github.com/users/plusgut/events{/privacy}	2	< 0.1%
https://api.github.com/users/vincenzopalazzo/events{/privacy}	2	< 0.1%
https://api.github.com/users/alexandrebodin/events{/privacy}	2	< 0.1%
https://api.github.com/users/teizenman/events{/privacy}	2	< 0.1%
https://api.github.com/users/yopito/events{/privacy}	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
https	20358	100.0%

Value	Count	Frequency (%)
api.github.com	20358	100.0%

Value	Count	Frequency (%)
/users/G3rrus/events{/privacy}	2	< 0.1%
/users/ashwin1111/events{/privacy}	2	< 0.1%
/users/jfrolich/events{/privacy}	2	< 0.1%
/users/tsocha/events{/privacy}	2	< 0.1%
/users/thesamesam/events{/privacy}	2	< 0.1%
/users/plusgut/events{/privacy}	2	< 0.1%
/users/vincenzopalazzo/events{/privacy}	2	< 0.1%
/users/alexandrebodin/events{/privacy}	2	< 0.1%
/users/teizenman/events{/privacy}	2	< 0.1%
/users/yopito/events{/privacy}	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
	20358	100.0%

Value	Count	Frequency (%)
	20358	100.0%

received_events_url
URL

Distinct	19768
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

https://api.github.com/users/G3rrus/received_events	2
https://api.github.com/users/ashwin1111/received_events	2
https://api.github.com/users/jfrolich/received_events	2
https://api.github.com/users/tsocha/received_events	2
https://api.github.com/users/thesamesam/received_events	2
Other values (19763)	20348

Value	Count	Frequency (%)
https://api.github.com/users/G3rrus/received_events	2	< 0.1%
https://api.github.com/users/ashwin1111/received_events	2	< 0.1%
https://api.github.com/users/jfrolich/received_events	2	< 0.1%
https://api.github.com/users/tsocha/received_events	2	< 0.1%
https://api.github.com/users/thesamesam/received_events	2	< 0.1%
https://api.github.com/users/plusgut/received_events	2	< 0.1%
https://api.github.com/users/vincenzopalazzo/received_events	2	< 0.1%
https://api.github.com/users/alexandrebodin/received_events	2	< 0.1%
https://api.github.com/users/teizenman/received_events	2	< 0.1%
https://api.github.com/users/yopito/received_events	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
https	20358	100.0%

Value	Count	Frequency (%)
api.github.com	20358	100.0%

Value	Count	Frequency (%)
/users/G3rrus/received_events	2	< 0.1%
/users/ashwin1111/received_events	2	< 0.1%
/users/jfrolich/received_events	2	< 0.1%
/users/tsocha/received_events	2	< 0.1%
/users/thesamesam/received_events	2	< 0.1%
/users/plusgut/received_events	2	< 0.1%
/users/vincenzopalazzo/received_events	2	< 0.1%
/users/alexandrebodin/received_events	2	< 0.1%
/users/teizenman/received_events	2	< 0.1%
/users/yopito/received_events	2	< 0.1%
Other values (19758)	20338	99.9%

Value	Count	Frequency (%)
	20358	100.0%

Value	Count	Frequency (%)
	20358	100.0%

type
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

User	20185
Bot	173

Length

Max length	4
Median length	4
Mean length	3.9915021
Min length	3

Characters and Unicode

Total characters	81259
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	User
2nd row	User
3rd row	User
4th row	User
5th row	User

Common Values

Value	Count	Frequency (%)
User	20185	99.2%
Bot	173	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
user	20185	99.2%
bot	173	0.8%

Most occurring characters

Value	Count	Frequency (%)
U	20185	24.8%
s	20185	24.8%
e	20185	24.8%
r	20185	24.8%
B	173	0.2%
o	173	0.2%
t	173	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	60901	74.9%
Uppercase Letter	20358	25.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	20185	33.1%
e	20185	33.1%
r	20185	33.1%
o	173	0.3%
t	173	0.3%

Uppercase Letter

Value	Count	Frequency (%)
U	20185	99.2%
B	173	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	81259	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	20185	24.8%
s	20185	24.8%
e	20185	24.8%
r	20185	24.8%
B	173	0.2%
o	173	0.2%
t	173	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	81259	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	20185	24.8%
s	20185	24.8%
e	20185	24.8%
r	20185	24.8%
B	173	0.2%
o	173	0.2%
t	173	0.2%

site_admin
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	20.0 KiB

False	20265
True	93

Value	Count	Frequency (%)
False	20265	99.5%
True	93	0.5%

name
Text

Missing

Distinct	16972
Distinct (%)	95.9%
Missing	2654
Missing (%)	13.0%
Memory size	1.3 MiB

Length

Max length	49
Median length	38
Mean length	12.626582
Min length	1

Characters and Unicode

Total characters	223541
Distinct characters	625
Distinct categories	19 ?
Distinct scripts	15 ?
Distinct blocks	26 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16304 ?
Unique (%)	92.1%

Sample

1st row	Indig Balázs
2nd row	sarkiroka
3rd row	Zoom.Quiet
4th row	Al Cutter
5th row	Jiajun Yan

Value	Count	Frequency (%)
david	199	0.6%
michael	176	0.5%
bot	162	0.5%
daniel	159	0.5%
chris	131	0.4%
thomas	123	0.4%
alex	117	0.3%
andrew	105	0.3%
john	100	0.3%
martin	96	0.3%
Other values (17716)	33228	96.0%

Most occurring characters

Value	Count	Frequency (%)
a	21517	9.6%
e	17622	7.9%
	16949	7.6%
i	15280	6.8%
n	15264	6.8%
r	13048	5.8%
o	11996	5.4%
l	9042	4.0%
s	8057	3.6%
t	7727	3.5%
Other values (615)	87039	38.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	169014	75.6%
Uppercase Letter	35267	15.8%
Space Separator	16950	7.6%
Other Punctuation	651	0.3%
Decimal Number	408	0.2%
Other Letter	393	0.2%
Dash Punctuation	386	0.2%
Close Punctuation	175	0.1%
Open Punctuation	174	0.1%
Nonspacing Mark	36	< 0.1%
Other values (9)	87	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
小	6	1.5%
雨	4	1.0%
龙	4	1.0%
이	4	1.0%
老	4	1.0%
ン	4	1.0%
王	4	1.0%
陈	4	1.0%
刘	3	0.8%
ク	3	0.8%
Other values (290)	353	89.8%

Lowercase Letter

Value	Count	Frequency (%)
a	21517	12.7%
e	17622	10.4%
i	15280	9.0%
n	15264	9.0%
r	13048	7.7%
o	11996	7.1%
l	9042	5.3%
s	8057	4.8%
t	7727	4.6%
h	7090	4.2%
Other values (144)	42371	25.1%

Uppercase Letter

Value	Count	Frequency (%)
S	3153	8.9%
M	3140	8.9%
A	2718	7.7%
J	2111	6.0%
B	2088	5.9%
C	1930	5.5%
D	1910	5.4%
K	1781	5.1%
R	1658	4.7%
P	1607	4.6%
Other values (60)	13171	37.3%

Nonspacing Mark

Value	Count	Frequency (%)
̼	3	8.3%
̩	2	5.6%
̃	2	5.6%
̝	2	5.6%
️	2	5.6%
्	1	2.8%
̗	1	2.8%
̞	1	2.8%
̎	1	2.8%
̏	1	2.8%
Other values (20)	20	55.6%

Other Punctuation

Value	Count	Frequency (%)
.	453	69.6%
'	58	8.9%
"	44	6.8%
,	38	5.8%
/	24	3.7%
@	14	2.2%
:	6	0.9%
!	4	0.6%
·	3	0.5%
&	1	0.2%
Other values (6)	6	0.9%

Other Symbol

Value	Count	Frequency (%)
⚡	3	16.7%
◕	3	16.7%
®	2	11.1%
™	2	11.1%
✈	2	11.1%
✨	1	5.6%
♪	1	5.6%
◠	1	5.6%
⌥	1	5.6%
⌃	1	5.6%

Decimal Number

Value	Count	Frequency (%)
1	87	21.3%
2	52	12.7%
0	49	12.0%
8	38	9.3%
3	36	8.8%
4	35	8.6%
5	31	7.6%
6	29	7.1%
9	26	6.4%
7	25	6.1%

Modifier Letter

Value	Count	Frequency (%)
ー	3	30.0%
ʲ	3	30.0%
ˈ	1	10.0%
ˌ	1	10.0%
ᵢ	1	10.0%
ᵃ	1	10.0%

Close Punctuation

Value	Count	Frequency (%)
)	152	86.9%
]	14	8.0%
}	5	2.9%
）	3	1.7%
】	1	0.6%

Open Punctuation

Value	Count	Frequency (%)
(	151	86.8%
[	14	8.0%
{	5	2.9%
（	3	1.7%
【	1	0.6%

Spacing Mark

Value	Count	Frequency (%)
ः	1	20.0%
ा	1	20.0%
ि	1	20.0%
ਿ	1	20.0%
ੀ	1	20.0%

Math Symbol

Value	Count	Frequency (%)
<	4	30.8%
>	4	30.8%
\|	4	30.8%
~	1	7.7%

Space Separator

Value	Count	Frequency (%)
	16949	> 99.9%
	1	< 0.1%

Connector Punctuation

Value	Count	Frequency (%)
_	30	96.8%
‿	1	3.2%

Dash Punctuation

Value	Count	Frequency (%)
-	386	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	6	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	2	100.0%

Other Number

Value	Count	Frequency (%)
₂	1	100.0%

Format

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	204065	91.3%
Common	18820	8.4%
Han	279	0.1%
Cyrillic	196	0.1%
Hangul	44	< 0.1%
Inherited	34	< 0.1%
Hiragana	26	< 0.1%
Katakana	25	< 0.1%
Greek	24	< 0.1%
Gurmukhi	10	< 0.1%
Other values (5)	18	< 0.1%

Most frequent character per script

Han

Value	Count	Frequency (%)
小	6	2.2%
雨	4	1.4%
龙	4	1.4%
老	4	1.4%
王	4	1.4%
陈	4	1.4%
刘	3	1.1%
天	3	1.1%
爱	3	1.1%
鹅	3	1.1%
Other values (202)	241	86.4%

Latin

Value	Count	Frequency (%)
a	21517	10.5%
e	17622	8.6%
i	15280	7.5%
n	15264	7.5%
r	13048	6.4%
o	11996	5.9%
l	9042	4.4%
s	8057	3.9%
t	7727	3.8%
h	7090	3.5%
Other values (156)	77422	37.9%

Common

Value	Count	Frequency (%)
	16949	90.1%
.	453	2.4%
-	386	2.1%
)	152	0.8%
(	151	0.8%
1	87	0.5%
'	58	0.3%
2	52	0.3%
0	49	0.3%
"	44	0.2%
Other values (52)	439	2.3%

Cyrillic

Value	Count	Frequency (%)
а	21	10.7%
н	17	8.7%
е	16	8.2%
в	14	7.1%
о	14	7.1%
и	13	6.6%
р	11	5.6%
л	8	4.1%
с	6	3.1%
т	6	3.1%
Other values (33)	70	35.7%

Hangul

Value	Count	Frequency (%)
이	4	9.1%
현	3	6.8%
준	3	6.8%
김	2	4.5%
파	2	4.5%
동	2	4.5%
헌	2	4.5%
재	2	4.5%
솔	1	2.3%
플	1	2.3%
Other values (22)	22	50.0%

Inherited

Value	Count	Frequency (%)
̼	3	8.8%
̩	2	5.9%
̃	2	5.9%
̝	2	5.9%
️	2	5.9%
̗	1	2.9%
̞	1	2.9%
̎	1	2.9%
̏	1	2.9%
̅	1	2.9%
Other values (18)	18	52.9%

Hiragana

Value	Count	Frequency (%)
の	2	7.7%
え	2	7.7%
い	2	7.7%
な	1	3.8%
き	1	3.8%
し	1	3.8%
れ	1	3.8%
ね	1	3.8%
つ	1	3.8%
み	1	3.8%
Other values (13)	13	50.0%

Greek

Value	Count	Frequency (%)
ι	4	16.7%
Λ	3	12.5%
τ	2	8.3%
α	2	8.3%
Σ	1	4.2%
λ	1	4.2%
γ	1	4.2%
ο	1	4.2%
Φ	1	4.2%
Ξ	1	4.2%
Other values (7)	7	29.2%

Katakana

Value	Count	Frequency (%)
ン	4	16.0%
ク	3	12.0%
レ	2	8.0%
タ	2	8.0%
ル	2	8.0%
バ	2	8.0%
イ	1	4.0%
メ	1	4.0%
ツ	1	4.0%
ペ	1	4.0%
Other values (6)	6	24.0%

Gurmukhi

Value	Count	Frequency (%)
ਗ	2	20.0%
ਘ	1	10.0%
ੰ	1	10.0%
ਿ	1	10.0%
ਸ	1	10.0%
ਪ	1	10.0%
ੀ	1	10.0%
ਦ	1	10.0%
ਨ	1	10.0%

Devanagari

Value	Count	Frequency (%)
व	2	25.0%
ः	1	12.5%
स	1	12.5%
ा	1	12.5%
्	1	12.5%
श	1	12.5%
ि	1	12.5%

Runic

Value	Count	Frequency (%)
ᚢ	1	14.3%
ᚱ	1	14.3%
ᚾ	1	14.3%
ᛅ	1	14.3%
ᛚ	1	14.3%
ᚠ	1	14.3%
ᛒ	1	14.3%

Arabic

Value	Count	Frequency (%)
م	1	100.0%

Georgian

Value	Count	Frequency (%)
ყ	1	100.0%

Sinhala

Value	Count	Frequency (%)
෴	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	221576	99.1%
None	1265	0.6%
CJK	279	0.1%
Cyrillic	196	0.1%
Hangul	44	< 0.1%
Diacriticals	32	< 0.1%
Katakana	29	< 0.1%
Hiragana	26	< 0.1%
Latin Ext Additional	14	< 0.1%
IPA Ext	13	< 0.1%
Other values (16)	67	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	21517	9.7%
e	17622	8.0%
	16949	7.6%
i	15280	6.9%
n	15264	6.9%
r	13048	5.9%
o	11996	5.4%
l	9042	4.1%
s	8057	3.6%
t	7727	3.5%
Other values (77)	85074	38.4%

None

Value	Count	Frequency (%)
é	224	17.7%
á	132	10.4%
í	74	5.8%
ö	64	5.1%
ü	63	5.0%
ó	58	4.6%
ł	53	4.2%
š	33	2.6%
ä	33	2.6%
ø	28	2.2%
Other values (102)	503	39.8%

Cyrillic

Value	Count	Frequency (%)
а	21	10.7%
н	17	8.7%
е	16	8.2%
в	14	7.1%
о	14	7.1%
и	13	6.6%
р	11	5.6%
л	8	4.1%
с	6	3.1%
т	6	3.1%
Other values (33)	70	35.7%

CJK

Value	Count	Frequency (%)
小	6	2.2%
雨	4	1.4%
龙	4	1.4%
老	4	1.4%
王	4	1.4%
陈	4	1.4%
刘	3	1.1%
天	3	1.1%
爱	3	1.1%
鹅	3	1.1%
Other values (202)	241	86.4%

Hangul

Value	Count	Frequency (%)
이	4	9.1%
현	3	6.8%
준	3	6.8%
김	2	4.5%
파	2	4.5%
동	2	4.5%
헌	2	4.5%
재	2	4.5%
솔	1	2.3%
플	1	2.3%
Other values (22)	22	50.0%

Katakana

Value	Count	Frequency (%)
ン	4	13.8%
ク	3	10.3%
ー	3	10.3%
レ	2	6.9%
タ	2	6.9%
ル	2	6.9%
バ	2	6.9%
イ	1	3.4%
メ	1	3.4%
ツ	1	3.4%
Other values (8)	8	27.6%

Latin Ext Additional

Value	Count	Frequency (%)
ễ	4	28.6%
ầ	3	21.4%
ả	1	7.1%
ặ	1	7.1%
ứ	1	7.1%
ợ	1	7.1%
ọ	1	7.1%
ấ	1	7.1%
ế	1	7.1%

Misc Symbols

Value	Count	Frequency (%)
⚡	3	75.0%
♪	1	25.0%

Modifier Letters

Value	Count	Frequency (%)
ʲ	3	60.0%
ˈ	1	20.0%
ˌ	1	20.0%

Phonetic Ext

Value	Count	Frequency (%)
ᴇ	3	25.0%
ᴀ	2	16.7%
ᴄ	2	16.7%
ᴥ	1	8.3%
ᵢ	1	8.3%
ᵃ	1	8.3%
ᴏ	1	8.3%
ᴅ	1	8.3%

IPA Ext

Value	Count	Frequency (%)
ʀ	3	23.1%
ɡ	1	7.7%
ɪ	1	7.7%
ʈ	1	7.7%
ɢ	1	7.7%
ʜ	1	7.7%
ɴ	1	7.7%
ɵ	1	7.7%
ɨ	1	7.7%
ʍ	1	7.7%

Diacriticals

Value	Count	Frequency (%)
̼	3	9.4%
̩	2	6.2%
̃	2	6.2%
̝	2	6.2%
̗	1	3.1%
̞	1	3.1%
̎	1	3.1%
̏	1	3.1%
̅	1	3.1%
͝	1	3.1%
Other values (17)	17	53.1%

Geometric Shapes

Value	Count	Frequency (%)
◕	3	75.0%
◠	1	25.0%

Hiragana

Value	Count	Frequency (%)
の	2	7.7%
え	2	7.7%
い	2	7.7%
な	1	3.8%
き	1	3.8%
し	1	3.8%
れ	1	3.8%
ね	1	3.8%
つ	1	3.8%
み	1	3.8%
Other values (13)	13	50.0%

Gurmukhi

Value	Count	Frequency (%)
ਗ	2	20.0%
ਘ	1	10.0%
ੰ	1	10.0%
ਿ	1	10.0%
ਸ	1	10.0%
ਪ	1	10.0%
ੀ	1	10.0%
ਦ	1	10.0%
ਨ	1	10.0%

Letterlike Symbols

Value	Count	Frequency (%)
™	2	100.0%

VS

Value	Count	Frequency (%)
️	2	100.0%

Dingbats

Value	Count	Frequency (%)
✈	2	66.7%
✨	1	33.3%

Devanagari

Value	Count	Frequency (%)
व	2	25.0%
ः	1	12.5%
स	1	12.5%
ा	1	12.5%
्	1	12.5%
श	1	12.5%
ि	1	12.5%

Punctuation

Value	Count	Frequency (%)
’	2	50.0%
•	1	25.0%
‿	1	25.0%

Runic

Value	Count	Frequency (%)
ᚢ	1	14.3%
ᚱ	1	14.3%
ᚾ	1	14.3%
ᛅ	1	14.3%
ᛚ	1	14.3%
ᚠ	1	14.3%
ᛒ	1	14.3%

Arabic

Value	Count	Frequency (%)
م	1	100.0%

Georgian

Value	Count	Frequency (%)
ყ	1	100.0%

Misc Technical

Value	Count	Frequency (%)
⌥	1	50.0%
⌃	1	50.0%

Arrows

Value	Count	Frequency (%)
↹	1	100.0%

Sinhala

Value	Count	Frequency (%)
෴	1	100.0%

company
Text

Missing

Distinct	6494
Distinct (%)	58.4%
Missing	9229
Missing (%)	45.3%
Memory size	1.0 MiB

Length

Max length	211
Median length	95
Mean length	12.686135
Min length	1

Characters and Unicode

Total characters	141184
Distinct characters	227
Distinct categories	17 ?
Distinct scripts	8 ?
Distinct blocks	15 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5545 ?
Unique (%)	49.8%

Sample

1st row	蟒营® py.101.camp
2nd row	Alpega
3rd row	MOONGIFT
4th row	Google
5th row	@Wikia

Value	Count	Frequency (%)
microsoft	808	4.6%
red	544	3.1%
hat	543	3.1%
university	320	1.8%
google	312	1.8%
	269	1.5%
of	265	1.5%
inc	258	1.5%
intel	172	1.0%
automattic	168	1.0%
Other values (6753)	13992	79.3%

Most occurring characters

Value	Count	Frequency (%)
e	10995	7.8%
o	10446	7.4%
a	9367	6.6%
t	8908	6.3%
i	8605	6.1%
	8429	6.0%
r	7188	5.1%
n	6657	4.7%
s	6002	4.3%
@	5766	4.1%
Other values (217)	58821	41.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	104918	74.3%
Uppercase Letter	18220	12.9%
Space Separator	8429	6.0%
Other Punctuation	7475	5.3%
Dash Punctuation	1162	0.8%
Decimal Number	492	0.3%
Open Punctuation	121	0.1%
Close Punctuation	120	0.1%
Other Letter	116	0.1%
Math Symbol	72	0.1%
Other values (7)	59	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
ʔ	5	4.3%
公	4	3.4%
司	4	3.4%
限	4	3.4%
有	4	3.4%
京	3	2.6%
北	3	2.6%
大	2	1.7%
工	2	1.7%
软	2	1.7%
Other values (76)	83	71.6%

Lowercase Letter

Value	Count	Frequency (%)
e	10995	10.5%
o	10446	10.0%
a	9367	8.9%
t	8908	8.5%
i	8605	8.2%
r	7188	6.9%
n	6657	6.3%
s	6002	5.7%
c	5295	5.0%
l	4701	4.5%
Other values (36)	26754	25.5%

Uppercase Letter

Value	Count	Frequency (%)
S	1677	9.2%
M	1492	8.2%
A	1376	7.6%
C	1340	7.4%
I	1308	7.2%
H	1088	6.0%
R	1043	5.7%
L	900	4.9%
T	827	4.5%
G	760	4.2%
Other values (18)	6409	35.2%

Other Punctuation

Value	Count	Frequency (%)
@	5766	77.1%
.	719	9.6%
,	534	7.1%
/	256	3.4%
:	72	1.0%
&	67	0.9%
'	26	0.3%
•	6	0.1%
;	6	0.1%
"	6	0.1%
Other values (7)	17	0.2%

Other Symbol

Value	Count	Frequency (%)
⠨	8	30.8%
®	5	19.2%
⠁	2	7.7%
✨	1	3.8%
⠙	1	3.8%
⠥	1	3.8%
⠗	1	3.8%
⠺	1	3.8%
⠵	1	3.8%
⠕	1	3.8%
Other values (4)	4	15.4%

Decimal Number

Value	Count	Frequency (%)
2	122	24.8%
1	69	14.0%
0	65	13.2%
4	55	11.2%
3	51	10.4%
8	36	7.3%
6	26	5.3%
5	25	5.1%
7	24	4.9%
9	19	3.9%

Nonspacing Mark

Value	Count	Frequency (%)
̅	4	26.7%
͡	4	26.7%
̫	3	20.0%
͜	2	13.3%
͓	1	6.7%
️	1	6.7%

Math Symbol

Value	Count	Frequency (%)
\|	49	68.1%
+	21	29.2%
=	1	1.4%
>	1	1.4%

Dash Punctuation

Value	Count	Frequency (%)
-	1157	99.6%
–	3	0.3%
—	2	0.2%

Open Punctuation

Value	Count	Frequency (%)
(	114	94.2%
[	4	3.3%
{	3	2.5%

Close Punctuation

Value	Count	Frequency (%)
)	113	94.2%
]	4	3.3%
}	3	2.5%

Modifier Symbol

Value	Count	Frequency (%)
`	4	66.7%
¯	2	33.3%

Space Separator

Value	Count	Frequency (%)
	8429	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	9	100.0%

Format

Value	Count	Frequency (%)
	1	100.0%

Modifier Letter

Value	Count	Frequency (%)
ー	1	100.0%

Letter Number

Value	Count	Frequency (%)
Ⅳ	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	123143	87.2%
Common	17899	12.7%
Han	75	0.1%
Hiragana	18	< 0.1%
Braille	16	< 0.1%
Inherited	15	< 0.1%
Katakana	15	< 0.1%
Hangul	3	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	10995	8.9%
o	10446	8.5%
a	9367	7.6%
t	8908	7.2%
i	8605	7.0%
r	7188	5.8%
n	6657	5.4%
s	6002	4.9%
c	5295	4.3%
l	4701	3.8%
Other values (65)	44979	36.5%

Common

Value	Count	Frequency (%)
	8429	47.1%
@	5766	32.2%
-	1157	6.5%
.	719	4.0%
,	534	3.0%
/	256	1.4%
2	122	0.7%
(	114	0.6%
)	113	0.6%
:	72	0.4%
Other values (43)	617	3.4%

Han

Value	Count	Frequency (%)
公	4	5.3%
司	4	5.3%
限	4	5.3%
有	4	5.3%
京	3	4.0%
北	3	4.0%
大	2	2.7%
工	2	2.7%
软	2	2.7%
州	2	2.7%
Other values (41)	45	60.0%

Hiragana

Value	Count	Frequency (%)
く	2	11.1%
さ	1	5.6%
ら	1	5.6%
る	1	5.6%
し	1	5.6%
り	1	5.6%
も	1	5.6%
け	1	5.6%
ぽ	1	5.6%
よ	1	5.6%
Other values (7)	7	38.9%

Katakana

Value	Count	Frequency (%)
ア	2	13.3%
ッ	1	6.7%
ト	1	6.7%
イ	1	6.7%
ン	1	6.7%
タ	1	6.7%
ネ	1	6.7%
オ	1	6.7%
ジ	1	6.7%
ラ	1	6.7%
Other values (4)	4	26.7%

Braille

Value	Count	Frequency (%)
⠨	8	50.0%
⠁	2	12.5%
⠙	1	6.2%
⠥	1	6.2%
⠗	1	6.2%
⠺	1	6.2%
⠵	1	6.2%
⠕	1	6.2%

Inherited

Value	Count	Frequency (%)
̅	4	26.7%
͡	4	26.7%
̫	3	20.0%
͜	2	13.3%
͓	1	6.7%
️	1	6.7%

Hangul

Value	Count	Frequency (%)
숨	1	33.3%
드	1	33.3%
코	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	140910	99.8%
None	98	0.1%
CJK	75	0.1%
Hiragana	18	< 0.1%
Braille	16	< 0.1%
Katakana	16	< 0.1%
IPA Ext	15	< 0.1%
Diacriticals	14	< 0.1%
Punctuation	13	< 0.1%
Hangul	3	< 0.1%
Other values (5)	6	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	10995	7.8%
o	10446	7.4%
a	9367	6.6%
t	8908	6.3%
i	8605	6.1%
	8429	6.0%
r	7188	5.1%
n	6657	4.7%
s	6002	4.3%
@	5766	4.1%
Other values (79)	58547	41.5%

None

Value	Count	Frequency (%)
é	24	24.5%
ä	11	11.2%
ó	10	10.2%
ü	9	9.2%
ð	5	5.1%
Ü	5	5.1%
®	5	5.1%
ú	3	3.1%
É	3	3.1%
í	3	3.1%
Other values (14)	20	20.4%

Braille

Value	Count	Frequency (%)
⠨	8	50.0%
⠁	2	12.5%
⠙	1	6.2%
⠥	1	6.2%
⠗	1	6.2%
⠺	1	6.2%
⠵	1	6.2%
⠕	1	6.2%

Punctuation

Value	Count	Frequency (%)
•	6	46.2%
–	3	23.1%
—	2	15.4%
†	1	7.7%
	1	7.7%

IPA Ext

Value	Count	Frequency (%)
ʔ	5	33.3%
ʘ	4	26.7%
ʕ	4	26.7%
ɛ	2	13.3%

CJK

Value	Count	Frequency (%)
公	4	5.3%
司	4	5.3%
限	4	5.3%
有	4	5.3%
京	3	4.0%
北	3	4.0%
大	2	2.7%
工	2	2.7%
软	2	2.7%
州	2	2.7%
Other values (41)	45	60.0%

Diacriticals

Value	Count	Frequency (%)
̅	4	28.6%
͡	4	28.6%
̫	3	21.4%
͜	2	14.3%
͓	1	7.1%

Hiragana

Value	Count	Frequency (%)
く	2	11.1%
さ	1	5.6%
ら	1	5.6%
る	1	5.6%
し	1	5.6%
り	1	5.6%
も	1	5.6%
け	1	5.6%
ぽ	1	5.6%
よ	1	5.6%
Other values (7)	7	38.9%

Katakana

Value	Count	Frequency (%)
ア	2	12.5%
ッ	1	6.2%
ト	1	6.2%
イ	1	6.2%
ン	1	6.2%
タ	1	6.2%
ー	1	6.2%
ネ	1	6.2%
オ	1	6.2%
ジ	1	6.2%
Other values (5)	5	31.2%

Dingbats

Value	Count	Frequency (%)
✨	1	100.0%

Number Forms

Value	Count	Frequency (%)
Ⅳ	1	100.0%

VS

Value	Count	Frequency (%)
️	1	100.0%

Misc Symbols

Value	Count	Frequency (%)
☁	1	50.0%
☕	1	50.0%

Enclosed Alphanum

Value	Count	Frequency (%)
Ⓐ	1	100.0%

Hangul

Value	Count	Frequency (%)
숨	1	33.3%
드	1	33.3%
코	1	33.3%

blog
Text

Missing

Distinct	8448
Distinct (%)	96.5%
Missing	11601
Missing (%)	57.0%
Memory size	1.0 MiB

Length

Max length	145
Median length	86
Mean length	24.285943
Min length	1

Characters and Unicode

Total characters	212672
Distinct characters	128
Distinct categories	12 ?
Distinct scripts	6 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8158 ?
Unique (%)	93.2%

Sample

1st row	https://sarkiroka.hu
2nd row	http://zoomquiet.io
3rd row	https://www.patreon.com/buddyspencer
4th row	https://moongift.co.jp
5th row	http://jamie.sh

Value	Count	Frequency (%)
https://www.odoo.com	6	0.1%
www.taosdata.com	5	0.1%
https://review.docs.microsoft.com/en-us/engineering/projects/ops/engdocs/how-to-grant-service-account-permission-in-your-repository?branch=master	5	0.1%
http://github.com/openshift	4	< 0.1%
https://www.sap.com	4	< 0.1%
https://adguard.com	4	< 0.1%
https://mattermost.com	3	< 0.1%
https://www.dhis2.org	3	< 0.1%
https://www.microsoft.com	3	< 0.1%
https://codecov.io	3	< 0.1%
Other values (8431)	8728	99.5%

Most occurring characters

Value	Count	Frequency (%)
t	21382	10.1%
/	19248	9.1%
.	12850	6.0%
o	12708	6.0%
h	11422	5.4%
s	11415	5.4%
e	11211	5.3%
i	10759	5.1%
p	9571	4.5%
a	9321	4.4%
Other values (118)	82785	38.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	168280	79.1%
Other Punctuation	39586	18.6%
Decimal Number	2725	1.3%
Dash Punctuation	1097	0.5%
Uppercase Letter	731	0.3%
Math Symbol	113	0.1%
Connector Punctuation	79	< 0.1%
Other Letter	22	< 0.1%
Space Separator	17	< 0.1%
Open Punctuation	9	< 0.1%
Other values (2)	13	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	21382	12.7%
o	12708	7.6%
h	11422	6.8%
s	11415	6.8%
e	11211	6.7%
i	10759	6.4%
p	9571	5.7%
a	9321	5.5%
n	8391	5.0%
c	7457	4.4%
Other values (35)	54643	32.5%

Uppercase Letter

Value	Count	Frequency (%)
A	65	8.9%
S	52	7.1%
M	48	6.6%
C	42	5.7%
D	41	5.6%
I	36	4.9%
T	35	4.8%
P	34	4.7%
B	32	4.4%
G	30	4.1%
Other values (16)	316	43.2%

Other Letter

Value	Count	Frequency (%)
み	2	9.1%
ん	2	9.1%
な	2	9.1%
号	1	4.5%
屋	1	4.5%
哈	1	4.5%
微	1	4.5%
信	1	4.5%
公	1	4.5%
众	1	4.5%
Other values (9)	9	40.9%

Other Punctuation

Value	Count	Frequency (%)
/	19248	48.6%
.	12850	32.5%
:	7210	18.2%
@	192	0.5%
?	37	0.1%
%	17	< 0.1%
#	14	< 0.1%
!	6	< 0.1%
&	5	< 0.1%
;	2	< 0.1%
Other values (3)	5	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	462	17.0%
0	421	15.4%
2	302	11.1%
3	273	10.0%
7	235	8.6%
8	220	8.1%
5	214	7.9%
9	213	7.8%
4	211	7.7%
6	174	6.4%

Math Symbol

Value	Count	Frequency (%)
~	72	63.7%
=	39	34.5%
\|	1	0.9%
<	1	0.9%

Open Punctuation

Value	Count	Frequency (%)
{	5	55.6%
(	2	22.2%
[	2	22.2%

Close Punctuation

Value	Count	Frequency (%)
}	5	55.6%
)	2	22.2%
]	2	22.2%

Dash Punctuation

Value	Count	Frequency (%)
-	1096	99.9%
—	1	0.1%

Connector Punctuation

Value	Count	Frequency (%)
_	79	100.0%

Space Separator

Value	Count	Frequency (%)
	17	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	168987	79.5%
Common	43639	20.5%
Cyrillic	16	< 0.1%
Han	16	< 0.1%
Greek	8	< 0.1%
Hiragana	6	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	21382	12.7%
o	12708	7.5%
h	11422	6.8%
s	11415	6.8%
e	11211	6.6%
i	10759	6.4%
p	9571	5.7%
a	9321	5.5%
n	8391	5.0%
c	7457	4.4%
Other values (47)	55350	32.8%

Common

Value	Count	Frequency (%)
/	19248	44.1%
.	12850	29.4%
:	7210	16.5%
-	1096	2.5%
1	462	1.1%
0	421	1.0%
2	302	0.7%
3	273	0.6%
7	235	0.5%
8	220	0.5%
Other values (28)	1322	3.0%

Han

Value	Count	Frequency (%)
号	1	6.2%
屋	1	6.2%
哈	1	6.2%
微	1	6.2%
信	1	6.2%
公	1	6.2%
众	1	6.2%
啊	1	6.2%
大	1	6.2%
小	1	6.2%
Other values (6)	6	37.5%

Cyrillic

Value	Count	Frequency (%)
н	3	18.8%
а	3	18.8%
о	2	12.5%
к	1	6.2%
е	1	6.2%
р	1	6.2%
т	1	6.2%
д	1	6.2%
с	1	6.2%
л	1	6.2%

Greek

Value	Count	Frequency (%)
λ	3	37.5%
π	3	37.5%
ω	2	25.0%

Hiragana

Value	Count	Frequency (%)
み	2	33.3%
ん	2	33.3%
な	2	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	212618	> 99.9%
Cyrillic	16	< 0.1%
CJK	16	< 0.1%
None	15	< 0.1%
Hiragana	6	< 0.1%
Punctuation	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	21382	10.1%
/	19248	9.1%
.	12850	6.0%
o	12708	6.0%
h	11422	5.4%
s	11415	5.4%
e	11211	5.3%
i	10759	5.1%
p	9571	4.5%
a	9321	4.4%
Other values (78)	82731	38.9%

Cyrillic

Value	Count	Frequency (%)
н	3	18.8%
а	3	18.8%
о	2	12.5%
к	1	6.2%
е	1	6.2%
р	1	6.2%
т	1	6.2%
д	1	6.2%
с	1	6.2%
л	1	6.2%

None

Value	Count	Frequency (%)
λ	3	20.0%
π	3	20.0%
ω	2	13.3%
ö	2	13.3%
ä	1	6.7%
ß	1	6.7%
ü	1	6.7%
é	1	6.7%
、	1	6.7%

Hiragana

Value	Count	Frequency (%)
み	2	33.3%
ん	2	33.3%
な	2	33.3%

CJK

Value	Count	Frequency (%)
号	1	6.2%
屋	1	6.2%
哈	1	6.2%
微	1	6.2%
信	1	6.2%
公	1	6.2%
众	1	6.2%
啊	1	6.2%
大	1	6.2%
小	1	6.2%
Other values (6)	6	37.5%

Punctuation

Value	Count	Frequency (%)
—	1	100.0%

location
Text

Missing

Distinct	4127
Distinct (%)	31.6%
Missing	7287
Missing (%)	35.8%
Memory size	1.1 MiB

Length

Max length	189
Median length	77
Mean length	12.347334
Min length	1

Characters and Unicode

Total characters	161392
Distinct characters	321
Distinct categories	20 ?
Distinct scripts	10 ?
Distinct blocks	21 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2972 ?
Unique (%)	22.7%

Sample

1st row	ZhuHai,China,Earth
2nd row	Sussex, UK
3rd row	Austria
4th row	Yokohama, Japan
5th row	London, UK

Value	Count	Frequency (%)
germany	757	3.1%
ca	479	2.0%
china	434	1.8%
usa	414	1.7%
san	388	1.6%
uk	382	1.6%
france	377	1.5%
new	358	1.5%
wa	358	1.5%
canada	327	1.3%
Other values (3079)	20103	82.5%

Most occurring characters

Value	Count	Frequency (%)
a	15829	9.8%
n	12644	7.8%
e	11619	7.2%
	11387	7.1%
i	8948	5.5%
r	8876	5.5%
o	8373	5.2%
,	7255	4.5%
l	5885	3.6%
t	5877	3.6%
Other values (311)	64699	40.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	112751	69.9%
Uppercase Letter	28055	17.4%
Space Separator	11389	7.1%
Other Punctuation	7911	4.9%
Decimal Number	496	0.3%
Dash Punctuation	228	0.1%
Other Letter	220	0.1%
Close Punctuation	94	0.1%
Open Punctuation	94	0.1%
Math Symbol	56	< 0.1%
Other values (10)	98	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
ร	13	5.9%
า	8	3.6%
京	8	3.6%
中	7	3.2%
ง	6	2.7%
国	6	2.7%
北	6	2.7%
州	6	2.7%
ม	5	2.3%
ะ	5	2.3%
Other values (98)	150	68.2%

Lowercase Letter

Value	Count	Frequency (%)
a	15829	14.0%
n	12644	11.2%
e	11619	10.3%
i	8948	7.9%
r	8876	7.9%
o	8373	7.4%
l	5885	5.2%
t	5877	5.2%
d	4542	4.0%
s	4449	3.9%
Other values (73)	25709	22.8%

Uppercase Letter

Value	Count	Frequency (%)
S	3061	10.9%
A	2944	10.5%
C	2894	10.3%
B	1858	6.6%
N	1617	5.8%
U	1427	5.1%
M	1263	4.5%
G	1189	4.2%
P	1174	4.2%
T	1093	3.9%
Other values (30)	9535	34.0%

Other Punctuation

Value	Count	Frequency (%)
,	7255	91.7%
.	260	3.3%
/	223	2.8%
:	57	0.7%
'	44	0.6%
@	12	0.2%
?	11	0.1%
!	8	0.1%
&	8	0.1%
′	6	0.1%
Other values (9)	27	0.3%

Other Symbol

Value	Count	Frequency (%)
°	16	39.0%
✈	3	7.3%
☁	3	7.3%
★	2	4.9%
⇄	2	4.9%
⌨	2	4.9%
↜	2	4.9%
┃	1	2.4%
☮	1	2.4%
⇌	1	2.4%
Other values (8)	8	19.5%

Nonspacing Mark

Value	Count	Frequency (%)
̶	6	17.6%
้	5	14.7%
️	5	14.7%
ี	4	11.8%
์	3	8.8%
ั	3	8.8%
ิ	2	5.9%
่	2	5.9%
ุ	2	5.9%
ื	1	2.9%

Decimal Number

Value	Count	Frequency (%)
1	106	21.4%
0	90	18.1%
2	67	13.5%
3	45	9.1%
7	41	8.3%
6	32	6.5%
8	31	6.2%
5	30	6.0%
4	28	5.6%
9	26	5.2%

Math Symbol

Value	Count	Frequency (%)
+	17	30.4%
\|	14	25.0%
>	11	19.6%
<	6	10.7%
~	4	7.1%
=	1	1.8%
↦	1	1.8%
√	1	1.8%
∅	1	1.8%

Modifier Symbol

Value	Count	Frequency (%)
`	4	44.4%
¯	2	22.2%
¸	2	22.2%
^	1	11.1%

Dash Punctuation

Value	Count	Frequency (%)
-	226	99.1%
—	1	0.4%
–	1	0.4%

Close Punctuation

Value	Count	Frequency (%)
)	86	91.5%
]	5	5.3%
}	3	3.2%

Open Punctuation

Value	Count	Frequency (%)
(	86	91.5%
[	5	5.3%
{	3	3.2%

Space Separator

Value	Count	Frequency (%)
	11387	> 99.9%
	2	< 0.1%

Currency Symbol

Value	Count	Frequency (%)
$	3	75.0%
₿	1	25.0%

Connector Punctuation

Value	Count	Frequency (%)
_	4	100.0%

Spacing Mark

Value	Count	Frequency (%)
ा	2	100.0%

Modifier Letter

Value	Count	Frequency (%)
ー	1	100.0%

Format

Value	Count	Frequency (%)
‮	1	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	140744	87.2%
Common	20330	12.6%
Thai	126	0.1%
Han	92	0.1%
Cyrillic	60	< 0.1%
Katakana	14	< 0.1%
Inherited	11	< 0.1%
Devanagari	8	< 0.1%
Hiragana	5	< 0.1%
Greek	2	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	15829	11.2%
n	12644	9.0%
e	11619	8.3%
i	8948	6.4%
r	8876	6.3%
o	8373	5.9%
l	5885	4.2%
t	5877	4.2%
d	4542	3.2%
s	4449	3.2%
Other values (90)	53702	38.2%

Common

Value	Count	Frequency (%)
	11387	56.0%
,	7255	35.7%
.	260	1.3%
-	226	1.1%
/	223	1.1%
1	106	0.5%
0	90	0.4%
)	86	0.4%
(	86	0.4%
2	67	0.3%
Other values (68)	544	2.7%

Han

Value	Count	Frequency (%)
京	8	8.7%
中	7	7.6%
国	6	6.5%
北	6	6.5%
州	6	6.5%
杭	4	4.3%
湖	2	2.2%
沙	2	2.2%
长	2	2.2%
南	2	2.2%
Other values (43)	47	51.1%

Thai

Value	Count	Frequency (%)
ร	13	10.3%
า	8	6.3%
ง	6	4.8%
ม	5	4.0%
้	5	4.0%
ะ	5	4.0%
ว	5	4.0%
ี	4	3.2%
ป	4	3.2%
น	4	3.2%
Other values (31)	67	53.2%

Cyrillic

Value	Count	Frequency (%)
с	9	15.0%
а	7	11.7%
о	7	11.7%
к	6	10.0%
и	5	8.3%
в	4	6.7%
р	4	6.7%
н	2	3.3%
б	2	3.3%
Н	2	3.3%
Other values (11)	12	20.0%

Katakana

Value	Count	Frequency (%)
ル	2	14.3%
チ	1	7.1%
ノ	1	7.1%
パ	1	7.1%
ツ	1	7.1%
フ	1	7.1%
ェ	1	7.1%
ク	1	7.1%
ト	1	7.1%
キ	1	7.1%
Other values (3)	3	21.4%

Devanagari

Value	Count	Frequency (%)
ग	2	25.0%
ा	2	25.0%
ं	1	12.5%
श	1	12.5%
क	1	12.5%
आ	1	12.5%

Hiragana

Value	Count	Frequency (%)
う	1	20.0%
す	1	20.0%
ん	1	20.0%
の	1	20.0%
さ	1	20.0%

Inherited

Value	Count	Frequency (%)
̶	6	54.5%
️	5	45.5%

Greek

Value	Count	Frequency (%)
ε	1	50.0%
α	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	160598	99.5%
None	428	0.3%
Thai	126	0.1%
CJK	92	0.1%
Cyrillic	60	< 0.1%
Katakana	15	< 0.1%
Punctuation	14	< 0.1%
Misc Symbols	10	< 0.1%
Devanagari	8	< 0.1%
Arrows	7	< 0.1%
Other values (11)	34	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	15829	9.9%
n	12644	7.9%
e	11619	7.2%
	11387	7.1%
i	8948	5.6%
r	8876	5.5%
o	8373	5.2%
,	7255	4.5%
l	5885	3.7%
t	5877	3.7%
Other values (84)	63905	39.8%

None

Value	Count	Frequency (%)
ü	77	18.0%
é	59	13.8%
ó	48	11.2%
ń	27	6.3%
ł	24	5.6%
ã	23	5.4%
ö	20	4.7%
á	18	4.2%
í	16	3.7%
°	16	3.7%
Other values (41)	100	23.4%

Thai

Value	Count	Frequency (%)
ร	13	10.3%
า	8	6.3%
ง	6	4.8%
ม	5	4.0%
้	5	4.0%
ะ	5	4.0%
ว	5	4.0%
ี	4	3.2%
ป	4	3.2%
น	4	3.2%
Other values (31)	67	53.2%

Cyrillic

Value	Count	Frequency (%)
с	9	15.0%
а	7	11.7%
о	7	11.7%
к	6	10.0%
и	5	8.3%
в	4	6.7%
р	4	6.7%
н	2	3.3%
б	2	3.3%
Н	2	3.3%
Other values (11)	12	20.0%

CJK

Value	Count	Frequency (%)
京	8	8.7%
中	7	7.6%
国	6	6.5%
北	6	6.5%
州	6	6.5%
杭	4	4.3%
湖	2	2.2%
沙	2	2.2%
长	2	2.2%
南	2	2.2%
Other values (43)	47	51.1%

Punctuation

Value	Count	Frequency (%)
′	6	42.9%
″	2	14.3%
‮	1	7.1%
—	1	7.1%
‘	1	7.1%
–	1	7.1%
’	1	7.1%
•	1	7.1%

Diacriticals

Value	Count	Frequency (%)
̶	6	100.0%

VS

Value	Count	Frequency (%)
️	5	100.0%

Dingbats

Value	Count	Frequency (%)
✈	3	100.0%

Misc Symbols

Value	Count	Frequency (%)
☁	3	30.0%
★	2	20.0%
☮	1	10.0%
♡	1	10.0%
♄	1	10.0%
☾	1	10.0%
☆	1	10.0%

Katakana

Value	Count	Frequency (%)
ル	2	13.3%
ー	1	6.7%
チ	1	6.7%
ノ	1	6.7%
パ	1	6.7%
ツ	1	6.7%
フ	1	6.7%
ェ	1	6.7%
ク	1	6.7%
ト	1	6.7%
Other values (4)	4	26.7%

Devanagari

Value	Count	Frequency (%)
ग	2	25.0%
ा	2	25.0%
ं	1	12.5%
श	1	12.5%
क	1	12.5%
आ	1	12.5%

Arrows

Value	Count	Frequency (%)
⇄	2	28.6%
↜	2	28.6%
⇌	1	14.3%
⇋	1	14.3%
↦	1	14.3%

Latin Ext Additional

Value	Count	Frequency (%)
ệ	2	33.3%
ộ	1	16.7%
ấ	1	16.7%
ạ	1	16.7%
ồ	1	16.7%

Misc Technical

Value	Count	Frequency (%)
⌨	2	100.0%

Box Drawing

Value	Count	Frequency (%)
┃	1	100.0%

Hiragana

Value	Count	Frequency (%)
う	1	20.0%
す	1	20.0%
ん	1	20.0%
の	1	20.0%
さ	1	20.0%

Math Operators

Value	Count	Frequency (%)
√	1	50.0%
∅	1	50.0%

Letterlike Symbols

Value	Count	Frequency (%)
™	1	100.0%

Currency Symbols

Value	Count	Frequency (%)
₿	1	100.0%

Geometric Shapes

Value	Count	Frequency (%)
◊	1	50.0%
○	1	50.0%

email
Text

Missing

Distinct	8029
Distinct (%)	97.0%
Missing	12079
Missing (%)	59.3%
Memory size	1003.9 KiB

Length

Max length	54
Median length	39
Mean length	20.460563
Min length	7

Characters and Unicode

Total characters	169393
Distinct characters	71
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7779 ?
Unique (%)	94.0%

Sample

1st row	hello@buddyspencer.monster
2nd row	atsushi@moongift.jp
3rd row	arthurdanjou@outlook.fr
4th row	shivsingh7150@hotmail.com
5th row	sovit.tamrakar@gmail.com

Value	Count	Frequency (%)
h@tunius.se	2	< 0.1%
michael@herrmann.io	2	< 0.1%
ssisil@pivotal.io	2	< 0.1%
tony@bakeyournoodle.com	2	< 0.1%
bramleyjl@gmail.com	2	< 0.1%
angelo.zerr@gmail.com	2	< 0.1%
siddhartharramesh@gmail.com	2	< 0.1%
nihal@nihalgonsalves.com	2	< 0.1%
coletdjnz@proton.me	2	< 0.1%
karthik.s@harness.io	2	< 0.1%
Other values (8023)	8263	99.8%

Most occurring characters

Value	Count	Frequency (%)
a	14785	8.7%
o	14317	8.5%
m	13733	8.1%
i	11836	7.0%
.	11027	6.5%
e	10191	6.0%
c	9964	5.9%
l	9143	5.4%
@	8278	4.9%
n	7638	4.5%
Other values (61)	58481	34.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	145930	86.1%
Other Punctuation	19309	11.4%
Decimal Number	3501	2.1%
Uppercase Letter	312	0.2%
Dash Punctuation	217	0.1%
Math Symbol	61	< 0.1%
Connector Punctuation	59	< 0.1%
Space Separator	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	14785	10.1%
o	14317	9.8%
m	13733	9.4%
i	11836	8.1%
e	10191	7.0%
c	9964	6.8%
l	9143	6.3%
n	7638	5.2%
r	7433	5.1%
g	6565	4.5%
Other values (16)	40325	27.6%

Uppercase Letter

Value	Count	Frequency (%)
S	31	9.9%
A	29	9.3%
J	27	8.7%
M	25	8.0%
I	22	7.1%
P	15	4.8%
H	14	4.5%
G	13	4.2%
K	13	4.2%
T	12	3.8%
Other values (16)	111	35.6%

Decimal Number

Value	Count	Frequency (%)
1	590	16.9%
0	503	14.4%
2	490	14.0%
9	386	11.0%
3	341	9.7%
6	260	7.4%
8	250	7.1%
4	245	7.0%
7	227	6.5%
5	209	6.0%

Other Punctuation

Value	Count	Frequency (%)
.	11027	57.1%
@	8278	42.9%
/	3	< 0.1%
,	1	< 0.1%

Math Symbol

Value	Count	Frequency (%)
+	59	96.7%
\|	2	3.3%

Dash Punctuation

Value	Count	Frequency (%)
-	217	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	59	100.0%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	146242	86.3%
Common	23151	13.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	14785	10.1%
o	14317	9.8%
m	13733	9.4%
i	11836	8.1%
e	10191	7.0%
c	9964	6.8%
l	9143	6.3%
n	7638	5.2%
r	7433	5.1%
g	6565	4.5%
Other values (42)	40637	27.8%

Common

Value	Count	Frequency (%)
.	11027	47.6%
@	8278	35.8%
1	590	2.5%
0	503	2.2%
2	490	2.1%
9	386	1.7%
3	341	1.5%
6	260	1.1%
8	250	1.1%
4	245	1.1%
Other values (9)	781	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	169393	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	14785	8.7%
o	14317	8.5%
m	13733	8.1%
i	11836	7.0%
.	11027	6.5%
e	10191	6.0%
c	9964	5.9%
l	9143	5.4%
@	8278	4.9%
n	7638	4.5%
Other values (61)	58481	34.5%

hireable
Boolean

Constant Missing

Distinct	1
Distinct (%)	< 0.1%
Missing	16956
Missing (%)	83.3%
Memory size	649.6 KiB

True	3402
(Missing)	16956

Value	Count	Frequency (%)
True	3402	16.7%
(Missing)	16956	83.3%

bio
Text

Missing

Distinct	8641
Distinct (%)	95.0%
Missing	11262
Missing (%)	55.3%
Memory size	1.6 MiB

Length

Max length	160
Median length	116
Mean length	61.902265
Min length	1

Characters and Unicode

Total characters	563063
Distinct characters	1747
Distinct categories	23 ?
Distinct scripts	18 ?
Distinct blocks	45 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8323 ?
Unique (%)	91.5%

Sample

1st row	I just press the buttons randomly, and the program evolves...
2nd row	Time is unimportant, only life important.
3rd row	Done studying. Need challenges.
4th row	Administrator of MOONGIFT that is introducing open source software everyday to Japanese engineers since 2004.
5th row	Senior Software Engineer at Google, working on Certificate Transparency and generalized transparency.

Value	Count	Frequency (%)
	3159	3.9%
and	2613	3.2%
engineer	1634	2.0%
software	1575	2.0%
of	1527	1.9%
at	1427	1.8%
developer	1275	1.6%
the	1112	1.4%
i	1069	1.3%
a	1056	1.3%
Other values (14754)	64292	79.6%

Most occurring characters

Value	Count	Frequency (%)
	72137	12.8%
e	51177	9.1%
o	33355	5.9%
n	32396	5.8%
a	32307	5.7%
t	32177	5.7%
r	32161	5.7%
i	29413	5.2%
s	20263	3.6%
l	15230	2.7%
Other values (1737)	212447	37.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	400648	71.2%
Space Separator	72320	12.8%
Uppercase Letter	45150	8.0%
Other Punctuation	24510	4.4%
Control	6034	1.1%
Decimal Number	3662	0.7%
Dash Punctuation	2636	0.5%
Other Letter	2048	0.4%
Other Symbol	2045	0.4%
Math Symbol	1798	0.3%
Other values (13)	2212	0.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
的	26	1.3%
一	20	1.0%
不	20	1.0%
人	14	0.7%
程	13	0.6%
者	13	0.6%
し	12	0.6%
码	12	0.6%
の	12	0.6%
日	11	0.5%
Other values (912)	1895	92.5%

Other Symbol

Value	Count	Frequency (%)
▄	141	6.9%
💻	86	4.2%
🍕	81	4.0%
❤	73	3.6%
█	62	3.0%
✨	59	2.9%
👨	58	2.8%
🚀	46	2.2%
🐁	39	1.9%
▀	39	1.9%
Other values (429)	1361	66.6%

Lowercase Letter

Value	Count	Frequency (%)
e	51177	12.8%
o	33355	8.3%
n	32396	8.1%
a	32307	8.1%
t	32177	8.0%
r	32161	8.0%
i	29413	7.3%
s	20263	5.1%
l	15230	3.8%
c	14670	3.7%
Other values (137)	107499	26.8%

Nonspacing Mark

Value	Count	Frequency (%)
️	208	61.2%
̶	10	2.9%
̭	6	1.8%
̯	6	1.8%
͡	6	1.8%
͉	6	1.8%
́	5	1.5%
̘	4	1.2%
̩	4	1.2%
̪	4	1.2%
Other values (45)	81	23.8%

Uppercase Letter

Value	Count	Frequency (%)
S	5883	13.0%
C	3937	8.7%
E	3107	6.9%
I	3013	6.7%
P	2930	6.5%
D	2826	6.3%
A	2825	6.3%
M	2410	5.3%
T	2175	4.8%
F	1803	4.0%
Other values (34)	14241	31.5%

Other Punctuation

Value	Count	Frequency (%)
.	7917	32.3%
,	6115	24.9%
@	4308	17.6%
/	2070	8.4%
:	893	3.6%
'	768	3.1%
&	685	2.8%
!	393	1.6%
#	323	1.3%
;	231	0.9%
Other values (24)	807	3.3%

Math Symbol

Value	Count	Frequency (%)
\|	1166	64.8%
+	421	23.4%
>	72	4.0%
=	46	2.6%
<	39	2.2%
~	26	1.4%
→	8	0.4%
←	4	0.2%
⋅	3	0.2%
≖	2	0.1%
Other values (10)	11	0.6%

Decimal Number

Value	Count	Frequency (%)
2	675	18.4%
0	605	16.5%
1	593	16.2%
3	375	10.2%
9	281	7.7%
8	247	6.7%
6	241	6.6%
4	233	6.4%
5	221	6.0%
7	187	5.1%
Other values (3)	4	0.1%

Close Punctuation

Value	Count	Frequency (%)
)	587	85.1%
]	58	8.4%
}	20	2.9%
）	9	1.3%
❯	5	0.7%
」	4	0.6%
】	3	0.4%
〉	2	0.3%
》	1	0.1%
༽	1	0.1%

Open Punctuation

Value	Count	Frequency (%)
(	552	85.1%
[	57	8.8%
{	22	3.4%
（	7	1.1%
【	3	0.5%
„	2	0.3%
「	2	0.3%
︵	2	0.3%
《	1	0.2%
༼	1	0.2%

Modifier Symbol

Value	Count	Frequency (%)
🏻	30	31.6%
`	20	21.1%
¯	18	18.9%
🏽	10	10.5%
🏼	9	9.5%
🏾	3	3.2%
^	3	3.2%
￣	2	2.1%

Private Use

Value	Count	Frequency (%)
	6	40.0%
	2	13.3%
	2	13.3%
	2	13.3%
	1	6.7%
	1	6.7%
	1	6.7%

Space Separator

Value	Count	Frequency (%)
	72137	99.7%
	61	0.1%
	48	0.1%
	45	0.1%
	27	< 0.1%
	2	< 0.1%

Modifier Letter

Value	Count	Frequency (%)
ー	10	62.5%
ˌ	2	12.5%
ˈ	2	12.5%
ː	1	6.2%
ₑ	1	6.2%

Other Number

Value	Count	Frequency (%)
²	2	33.3%
⁵	1	16.7%
¼	1	16.7%
¹	1	16.7%
⁰	1	16.7%

Dash Punctuation

Value	Count	Frequency (%)
-	2586	98.1%
—	31	1.2%
–	18	0.7%
―	1	< 0.1%

Format

Value	Count	Frequency (%)
‍	143	96.6%
	2	1.4%
	2	1.4%
‎	1	0.7%

Final Punctuation

Value	Count	Frequency (%)
’	31	60.8%
”	15	29.4%
»	5	9.8%

Currency Symbol

Value	Count	Frequency (%)
$	15	71.4%
₿	5	23.8%
£	1	4.8%

Initial Punctuation

Value	Count	Frequency (%)
“	13	72.2%
‘	4	22.2%
«	1	5.6%

Control

Value	Count	Frequency (%)
	3017	50.0%
	3017	50.0%

Connector Punctuation

Value	Count	Frequency (%)
_	157	96.9%
‿	5	3.1%

Letter Number

Value	Count	Frequency (%)
Ⅰ	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	445506	79.1%
Common	114738	20.4%
Han	1541	0.3%
Inherited	483	0.1%
Cyrillic	244	< 0.1%
Hangul	174	< 0.1%
Hiragana	166	< 0.1%
Katakana	80	< 0.1%
Arabic	67	< 0.1%
Greek	26	< 0.1%
Other values (8)	38	< 0.1%

Most frequent character per script

Han

Value	Count	Frequency (%)
的	26	1.7%
一	20	1.3%
不	20	1.3%
人	14	0.9%
程	13	0.8%
者	13	0.8%
码	12	0.8%
日	11	0.7%
行	11	0.7%
有	11	0.7%
Other values (680)	1390	90.2%

Common

Value	Count	Frequency (%)
	72137	62.9%
.	7917	6.9%
,	6115	5.3%
@	4308	3.8%
	3017	2.6%
	3017	2.6%
-	2586	2.3%
/	2070	1.8%
\|	1166	1.0%
:	893	0.8%
Other values (575)	11512	10.0%

Latin

Value	Count	Frequency (%)
e	51177	11.5%
o	33355	7.5%
n	32396	7.3%
a	32307	7.3%
t	32177	7.2%
r	32161	7.2%
i	29413	6.6%
s	20263	4.5%
l	15230	3.4%
c	14670	3.3%
Other values (107)	152357	34.2%

Hangul

Value	Count	Frequency (%)
ㅤ	8	4.6%
다	7	4.0%
는	7	4.0%
발	5	2.9%
드	4	2.3%
니	4	2.3%
이	4	2.3%
을	4	2.3%
자	4	2.3%
화	3	1.7%
Other values (102)	124	71.3%

Inherited

Value	Count	Frequency (%)
️	208	43.1%
‍	143	29.6%
̶	10	2.1%
̭	6	1.2%
̯	6	1.2%
͡	6	1.2%
͉	6	1.2%
́	5	1.0%
̘	4	0.8%
̩	4	0.8%
Other values (46)	85	17.6%

Katakana

Value	Count	Frequency (%)
ツ	11	13.8%
ム	4	5.0%
コ	4	5.0%
ル	3	3.8%
ゲ	3	3.8%
ｧ	3	3.8%
ン	3	3.8%
ラ	3	3.8%
ロ	3	3.8%
ジ	2	2.5%
Other values (32)	41	51.2%

Cyrillic

Value	Count	Frequency (%)
а	27	11.1%
т	18	7.4%
о	18	7.4%
н	14	5.7%
е	13	5.3%
в	12	4.9%
и	12	4.9%
с	11	4.5%
у	9	3.7%
р	8	3.3%
Other values (31)	102	41.8%

Hiragana

Value	Count	Frequency (%)
し	12	7.2%
の	12	7.2%
す	9	5.4%
た	8	4.8%
ま	8	4.8%
を	7	4.2%
い	7	4.2%
で	7	4.2%
と	7	4.2%
な	7	4.2%
Other values (30)	82	49.4%

Arabic

Value	Count	Frequency (%)
ا	10	14.9%
م	8	11.9%
و	7	10.4%
ت	6	9.0%
ل	5	7.5%
ر	4	6.0%
ع	4	6.0%
ة	3	4.5%
ي	3	4.5%
ح	2	3.0%
Other values (12)	15	22.4%

Greek

Value	Count	Frequency (%)
ω	4	15.4%
λ	3	11.5%
π	2	7.7%
θ	2	7.7%
ς	2	7.7%
ρ	2	7.7%
η	1	3.8%
ν	1	3.8%
ά	1	3.8%
ι	1	3.8%
Other values (7)	7	26.9%

Hebrew

Value	Count	Frequency (%)
מ	2	14.3%
ר	2	14.3%
ש	2	14.3%
ח	1	7.1%
ה	1	7.1%
ע	1	7.1%
ם	1	7.1%
י	1	7.1%
ו	1	7.1%
א	1	7.1%

Unknown

Value	Count	Frequency (%)
	6	40.0%
	2	13.3%
	2	13.3%
	2	13.3%
	1	6.7%
	1	6.7%
	1	6.7%

Tibetan

Value	Count	Frequency (%)
༼	1	50.0%
༽	1	50.0%

Thai

Value	Count	Frequency (%)
๑	2	100.0%

Kannada

Value	Count	Frequency (%)
ಠ	2	100.0%

Egyptian_Hieroglyphs

Value	Count	Frequency (%)
𓀡	1	100.0%

Mandaic

Value	Count	Frequency (%)
ࡇ	1	100.0%

Devanagari

Value	Count	Frequency (%)
ॐ	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	556997	98.9%
None	1865	0.3%
CJK	1541	0.3%
Punctuation	585	0.1%
Block Elements	255	< 0.1%
Cyrillic	244	< 0.1%
VS	209	< 0.1%
Enclosed Alphanum Sup	183	< 0.1%
Hiragana	166	< 0.1%
Hangul	165	< 0.1%
Other values (35)	853	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	72137	13.0%
e	51177	9.2%
o	33355	6.0%
n	32396	5.8%
a	32307	5.8%
t	32177	5.8%
r	32161	5.8%
i	29413	5.3%
s	20263	3.6%
l	15230	2.7%
Other values (87)	206381	37.1%

Punctuation

Value	Count	Frequency (%)
•	224	38.3%
‍	143	24.4%
	48	8.2%
’	31	5.3%
—	31	5.3%
	27	4.6%
–	18	3.1%
”	15	2.6%
“	13	2.2%
…	12	2.1%
Other values (10)	23	3.9%

VS

Value	Count	Frequency (%)
️	208	99.5%
︎	1	0.5%

Block Elements

Value	Count	Frequency (%)
▄	141	55.3%
█	62	24.3%
▀	39	15.3%
░	11	4.3%
▐	1	0.4%
▌	1	0.4%

None

Value	Count	Frequency (%)
💻	86	4.6%
🍕	81	4.3%
，	73	3.9%
	61	3.3%
👨	58	3.1%
。	57	3.1%
·	54	2.9%
🚀	46	2.5%
	45	2.4%
🐁	39	2.1%
Other values (407)	1265	67.8%

Dingbats

Value	Count	Frequency (%)
❤	73	44.8%
✨	59	36.2%
❯	5	3.1%
✌	5	3.1%
✍	3	1.8%
❄	2	1.2%
✊	2	1.2%
✝	2	1.2%
➣	1	0.6%
✿	1	0.6%
Other values (10)	10	6.1%

Misc Symbols

Value	Count	Frequency (%)
♂	31	22.1%
⚡	22	15.7%
☕	14	10.0%
♥	12	8.6%
☁	9	6.4%
⚛	5	3.6%
⚧	4	2.9%
⚙	4	2.9%
☾	3	2.1%
♀	3	2.1%
Other values (24)	33	23.6%

Enclosed Alphanum Sup

Value	Count	Frequency (%)
🇦	31	16.9%
🇺	29	15.8%
🇧	18	9.8%
🇷	16	8.7%
🇨	15	8.2%
🇬	11	6.0%
🇸	8	4.4%
🇪	8	4.4%
🇹	6	3.3%
🇮	6	3.3%
Other values (13)	35	19.1%

Cyrillic

Value	Count	Frequency (%)
а	27	11.1%
т	18	7.4%
о	18	7.4%
н	14	5.7%
е	13	5.3%
в	12	4.9%
и	12	4.9%
с	11	4.5%
у	9	3.7%
р	8	3.3%
Other values (31)	102	41.8%

CJK

Value	Count	Frequency (%)
的	26	1.7%
一	20	1.3%
不	20	1.3%
人	14	0.9%
程	13	0.8%
者	13	0.8%
码	12	0.8%
日	11	0.7%
行	11	0.7%
有	11	0.7%
Other values (680)	1390	90.2%

Hiragana

Value	Count	Frequency (%)
し	12	7.2%
の	12	7.2%
す	9	5.4%
た	8	4.8%
ま	8	4.8%
を	7	4.2%
い	7	4.2%
で	7	4.2%
と	7	4.2%
な	7	4.2%
Other values (30)	82	49.4%

Katakana

Value	Count	Frequency (%)
ツ	11	12.9%
ー	10	11.8%
・	5	5.9%
ム	4	4.7%
コ	4	4.7%
ル	3	3.5%
ゲ	3	3.5%
ン	3	3.5%
ラ	3	3.5%
ロ	3	3.5%
Other values (27)	36	42.4%

Diacriticals

Value	Count	Frequency (%)
̶	10	7.8%
̭	6	4.7%
̯	6	4.7%
͡	6	4.7%
͉	6	4.7%
́	5	3.9%
̘	4	3.1%
̩	4	3.1%
̪	4	3.1%
͜	4	3.1%
Other values (40)	73	57.0%

Arabic

Value	Count	Frequency (%)
ا	10	14.7%
م	8	11.8%
و	7	10.3%
ت	6	8.8%
ل	5	7.4%
ر	4	5.9%
ع	4	5.9%
ة	3	4.4%
ي	3	4.4%
ح	2	2.9%
Other values (13)	16	23.5%

Arrows

Value	Count	Frequency (%)
→	8	53.3%
←	4	26.7%
⇋	3	20.0%

Emoticons

Value	Count	Frequency (%)
🙈	8	12.5%
🙉	6	9.4%
🙂	5	7.8%
😄	4	6.2%
🙋	3	4.7%
😜	3	4.7%
😃	3	4.7%
😎	3	4.7%
😉	2	3.1%
😁	2	3.1%
Other values (18)	25	39.1%

Geometric Shapes Ext

Value	Count	Frequency (%)
🟦	8	57.1%
🟨	6	42.9%

Compat Jamo

Value	Count	Frequency (%)
ㅤ	8	100.0%

Hangul

Value	Count	Frequency (%)
다	7	4.2%
는	7	4.2%
발	5	3.0%
드	4	2.4%
니	4	2.4%
이	4	2.4%
을	4	2.4%
자	4	2.4%
화	3	1.8%
개	3	1.8%
Other values (100)	120	72.7%

Geometric Shapes

Value	Count	Frequency (%)
◕	6	31.6%
◉	2	10.5%
▽	2	10.5%
○	2	10.5%
□	2	10.5%
▲	2	10.5%
▸	1	5.3%
◦	1	5.3%
●	1	5.3%

Letterlike Symbols

Value	Count	Frequency (%)
™	6	100.0%

PUA

Value	Count	Frequency (%)
	6	40.0%
	2	13.3%
	2	13.3%
	2	13.3%
	1	6.7%
	1	6.7%
	1	6.7%

Box Drawing

Value	Count	Frequency (%)
╯	6	28.6%
┻	6	28.6%
║	5	23.8%
━	3	14.3%
╬	1	4.8%

Currency Symbols

Value	Count	Frequency (%)
₿	5	100.0%

Sup Punctuation

Value	Count	Frequency (%)
⸱	4	100.0%

Math Operators

Value	Count	Frequency (%)
⋅	3	23.1%
≖	2	15.4%
∠	2	15.4%
≧	1	7.7%
≦	1	7.7%
⊂	1	7.7%
⊃	1	7.7%
≺	1	7.7%
∀	1	7.7%

Thai

Value	Count	Frequency (%)
๑	2	100.0%

Phonetic Ext

Value	Count	Frequency (%)
ᴥ	2	33.3%
ᴍ	1	16.7%
ᴇ	1	16.7%
ᴛ	1	16.7%
ᴏ	1	16.7%

Math Alphanum

Value	Count	Frequency (%)
𝘴	2	8.3%
𝘭	2	8.3%
𝘶	2	8.3%
𝘵	2	8.3%
𝒽	1	4.2%
𝒾	1	4.2%
𝐂	1	4.2%
𝐑	1	4.2%
𝟎	1	4.2%
𝟖	1	4.2%
Other values (10)	10	41.7%

Kannada

Value	Count	Frequency (%)
ಠ	2	100.0%

Modifier Letters

Value	Count	Frequency (%)
ˌ	2	40.0%
ˈ	2	40.0%
ː	1	20.0%

IPA Ext

Value	Count	Frequency (%)
ʖ	2	20.0%
ʔ	1	10.0%
ʕ	1	10.0%
ɴ	1	10.0%
ʀ	1	10.0%
ɛ	1	10.0%
ɹ	1	10.0%
ɾ	1	10.0%
ɚ	1	10.0%

Misc Technical

Value	Count	Frequency (%)
⎈	2	28.6%
⏳	1	14.3%
⌘	1	14.3%
⌚	1	14.3%
⏱	1	14.3%
⌁	1	14.3%

CJK Compat Forms

Value	Count	Frequency (%)
︵	2	100.0%

Hebrew

Value	Count	Frequency (%)
מ	2	14.3%
ר	2	14.3%
ש	2	14.3%
ח	1	7.1%
ה	1	7.1%
ע	1	7.1%
ם	1	7.1%
י	1	7.1%
ו	1	7.1%
א	1	7.1%

Jamo

Value	Count	Frequency (%)
ᅟ	1	100.0%

Latin Ext Additional

Value	Count	Frequency (%)
ờ	1	50.0%
ṃ	1	50.0%

Number Forms

Value	Count	Frequency (%)
Ⅰ	1	100.0%

Egyptian Hieroglyphs

Value	Count	Frequency (%)
𓀡	1	100.0%

Mahjong

Value	Count	Frequency (%)
🀄	1	100.0%

Diacriticals Sup

Value	Count	Frequency (%)
᷅	1	50.0%
᷄	1	50.0%

Mandaic

Value	Count	Frequency (%)
ࡇ	1	100.0%

Devanagari

Value	Count	Frequency (%)
ॐ	1	100.0%

Tibetan

Value	Count	Frequency (%)
༼	1	50.0%
༽	1	50.0%

Enclosed Alphanum

Value	Count	Frequency (%)
Ⓐ	1	100.0%

twitter_username
Text

Missing

Distinct	4912
Distinct (%)	97.1%
Missing	15297
Missing (%)	75.1%
Memory size	808.2 KiB

Length

Max length	15
Median length	11
Mean length	9.7733649
Min length	2

Characters and Unicode

Total characters	49463
Distinct characters	63
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4763 ?
Unique (%)	94.1%

Sample

1st row	zoomq
2nd row	BuddySp3nc3r
3rd row	jamiesheep
4th row	GaelJourdanWeil
5th row	halbecaf

Value	Count	Frequency (%)
schamschula	2	< 0.1%
m_herrmann	2	< 0.1%
ybiquitous	2	< 0.1%
angelozerr	2	< 0.1%
sagikazarmark	2	< 0.1%
mariatta	2	< 0.1%
mergifyio	2	< 0.1%
der0ad	2	< 0.1%
philwareham	2	< 0.1%
awscloud	2	< 0.1%
Other values (4902)	5041	99.6%

Most occurring characters

Value	Count	Frequency (%)
a	4754	9.6%
e	4239	8.6%
i	3333	6.7%
r	3257	6.6%
n	3122	6.3%
o	2966	6.0%
s	2526	5.1%
l	2211	4.5%
t	2133	4.3%
h	1768	3.6%
Other values (53)	19154	38.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	44490	89.9%
Uppercase Letter	2199	4.4%
Decimal Number	1789	3.6%
Connector Punctuation	985	2.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	4754	10.7%
e	4239	9.5%
i	3333	7.5%
r	3257	7.3%
n	3122	7.0%
o	2966	6.7%
s	2526	5.7%
l	2211	5.0%
t	2133	4.8%
h	1768	4.0%
Other values (16)	14181	31.9%

Uppercase Letter

Value	Count	Frequency (%)
S	204	9.3%
M	189	8.6%
A	157	7.1%
T	143	6.5%
B	125	5.7%
D	122	5.5%
J	121	5.5%
C	106	4.8%
L	102	4.6%
P	98	4.5%
Other values (16)	832	37.8%

Decimal Number

Value	Count	Frequency (%)
0	332	18.6%
1	330	18.4%
2	211	11.8%
9	172	9.6%
3	148	8.3%
7	134	7.5%
8	132	7.4%
4	127	7.1%
5	109	6.1%
6	94	5.3%

Connector Punctuation

Value	Count	Frequency (%)
_	985	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	46689	94.4%
Common	2774	5.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	4754	10.2%
e	4239	9.1%
i	3333	7.1%
r	3257	7.0%
n	3122	6.7%
o	2966	6.4%
s	2526	5.4%
l	2211	4.7%
t	2133	4.6%
h	1768	3.8%
Other values (42)	16380	35.1%

Common

Value	Count	Frequency (%)
_	985	35.5%
0	332	12.0%
1	330	11.9%
2	211	7.6%
9	172	6.2%
3	148	5.3%
7	134	4.8%
8	132	4.8%
4	127	4.6%
5	109	3.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49463	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	4754	9.6%
e	4239	8.6%
i	3333	6.7%
r	3257	6.6%
n	3122	6.3%
o	2966	6.0%
s	2526	5.1%
l	2211	4.5%
t	2133	4.3%
h	1768	3.6%
Other values (53)	19154	38.7%

public_repos
Real number (ℝ)

High correlation Skewed Zeros

Distinct	674
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	83.608066

Minimum	0
Maximum	50000
Zeros	964
Zeros (%)	4.7%
Negative	0
Negative (%)	0.0%
Memory size	159.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	11
median	35
Q3	83
95-th percentile	249
Maximum	50000
Range	50000
Interquartile range (IQR)	72

Descriptive statistics

Standard deviation	566.6837
Coefficient of variation (CV)	6.7778592
Kurtosis	3802.1201
Mean	83.608066
Median Absolute Deviation (MAD)	29
Skewness	54.593341
Sum	1702093
Variance	321130.41
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	964	4.7%
1	574	2.8%
2	473	2.3%
3	404	2.0%
4	389	1.9%
6	377	1.9%
5	369	1.8%
7	345	1.7%
9	323	1.6%
8	313	1.5%
Other values (664)	15827	77.7%

Value	Count	Frequency (%)
0	964	4.7%
1	574	2.8%
2	473	2.3%
3	404	2.0%
4	389	1.9%
5	369	1.8%
6	377	1.9%
7	345	1.7%
8	313	1.5%
9	323	1.6%

Value	Count	Frequency (%)
50000	1	< 0.1%
27746	1	< 0.1%
26360	1	< 0.1%
22618	1	< 0.1%
20693	1	< 0.1%
17425	1	< 0.1%
16985	1	< 0.1%
16839	1	< 0.1%
9666	1	< 0.1%
9554	1	< 0.1%

public_gists
Real number (ℝ)

High correlation Skewed Zeros

Distinct	359
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.865753

Minimum	0
Maximum	55781
Zeros	8176
Zeros (%)	40.2%
Negative	0
Negative (%)	0.0%
Memory size	159.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	10
95-th percentile	66
Maximum	55781
Range	55781
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	626.46105
Coefficient of variation (CV)	25.193729
Kurtosis	6131.7796
Mean	24.865753
Median Absolute Deviation (MAD)	2
Skewness	75.171577
Sum	506217
Variance	392453.44
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	8176	40.2%
1	1929	9.5%
2	1192	5.9%
3	844	4.1%
4	695	3.4%
5	643	3.2%
6	512	2.5%
7	418	2.1%
9	337	1.7%
8	328	1.6%
Other values (349)	5284	26.0%

Value	Count	Frequency (%)
0	8176	40.2%
1	1929	9.5%
2	1192	5.9%
3	844	4.1%
4	695	3.4%
5	643	3.2%
6	512	2.5%
7	418	2.1%
8	328	1.6%
9	337	1.7%

Value	Count	Frequency (%)
55781	1	< 0.1%
53660	1	< 0.1%
28943	1	< 0.1%
26879	1	< 0.1%
15482	1	< 0.1%
10604	1	< 0.1%
3450	1	< 0.1%
3170	1	< 0.1%
2565	1	< 0.1%
1750	1	< 0.1%

followers
Real number (ℝ)

High correlation Skewed Zeros

Distinct	1600
Distinct (%)	7.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	243.00943

Minimum	0
Maximum	95752
Zeros	1476
Zeros (%)	7.3%
Negative	0
Negative (%)	0.0%
Memory size	159.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	7
median	33
Q3	124
95-th percentile	825.45
Maximum	95752
Range	95752
Interquartile range (IQR)	117

Descriptive statistics

Standard deviation	1520.847
Coefficient of variation (CV)	6.2583869
Kurtosis	1587.9428
Mean	243.00943
Median Absolute Deviation (MAD)	31
Skewness	32.591042
Sum	4947186
Variance	2312975.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1476	7.3%
1	822	4.0%
2	646	3.2%
3	534	2.6%
4	461	2.3%
5	423	2.1%
6	405	2.0%
7	356	1.7%
8	353	1.7%
9	322	1.6%
Other values (1590)	14560	71.5%

Value	Count	Frequency (%)
0	1476	7.3%
1	822	4.0%
2	646	3.2%
3	534	2.6%
4	461	2.3%
5	423	2.1%
6	405	2.0%
7	356	1.7%
8	353	1.7%
9	322	1.6%

Value	Count	Frequency (%)
95752	1	< 0.1%
84979	1	< 0.1%
66203	1	< 0.1%
58452	1	< 0.1%
31120	1	< 0.1%
30287	1	< 0.1%
29719	1	< 0.1%
29414	1	< 0.1%
28411	1	< 0.1%
25815	1	< 0.1%

following
Real number (ℝ)

High correlation Skewed Zeros

Distinct	620
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.250368

Minimum	0
Maximum	27775
Zeros	6189
Zeros (%)	30.4%
Negative	0
Negative (%)	0.0%
Memory size	159.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	4
Q3	22
95-th percentile	148.15
Maximum	27775
Range	27775
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	362.16041
Coefficient of variation (CV)	8.1843478
Kurtosis	2309.8615
Mean	44.250368
Median Absolute Deviation (MAD)	4
Skewness	40.242606
Sum	900849
Variance	131160.16
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6189	30.4%
1	1789	8.8%
2	1130	5.6%
3	820	4.0%
4	621	3.1%
5	549	2.7%
6	495	2.4%
7	417	2.0%
8	380	1.9%
9	328	1.6%
Other values (610)	7640	37.5%

Value	Count	Frequency (%)
0	6189	30.4%
1	1789	8.8%
2	1130	5.6%
3	820	4.0%
4	621	3.1%
5	549	2.7%
6	495	2.4%
7	417	2.0%
8	380	1.9%
9	328	1.6%

Value	Count	Frequency (%)
27775	1	< 0.1%
16741	1	< 0.1%
15931	1	< 0.1%
11921	1	< 0.1%
10268	1	< 0.1%
9720	1	< 0.1%
9686	1	< 0.1%
9532	1	< 0.1%
9367	1	< 0.1%
7374	1	< 0.1%

created_at
Date

Distinct	19767
Distinct (%)	97.1%
Missing	0
Missing (%)	0.0%
Memory size	159.2 KiB

Minimum	2008-01-27 07:09:47+00:00
Maximum	2021-12-20 05:29:41+00:00

Histogram with fixed size bins (bins=50)

updated_at
Date

Distinct	19638
Distinct (%)	96.5%
Missing	0
Missing (%)	0.0%
Memory size	159.2 KiB

Minimum	2016-08-08 22:18:09+00:00
Maximum	2023-10-14 14:33:48+00:00

Histogram with fixed size bins (bins=50)

followers_percentage
Text

Distinct	2862
Distinct (%)	14.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

Length

Max length	11
Median length	10
Mean length	6.250221
Min length	4

Characters and Unicode

Total characters	127242
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1558 ?
Unique (%)	7.7%

Sample

1st row	500.00%
2nd row	150.00%
3rd row	548.00%
4th row	4200.00%
5th row	300.00%

Value	Count	Frequency (%)
inf	4903	24.1%
0.00	1476	7.3%
100.00	386	1.9%
200.00	300	1.5%
300.00	222	1.1%
400.00	165	0.8%
600.00	129	0.6%
500.00	116	0.6%
700.00	110	0.5%
800.00	107	0.5%
Other values (2852)	12444	61.1%

Most occurring characters

Value	Count	Frequency (%)
0	42226	33.2%
%	20358	16.0%
.	15455	12.1%
1	6549	5.1%
i	4903	3.9%
n	4903	3.9%
f	4903	3.9%
2	4851	3.8%
3	4611	3.6%
5	4023	3.2%
Other values (5)	14460	11.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	76720	60.3%
Other Punctuation	35813	28.1%
Lowercase Letter	14709	11.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	42226	55.0%
1	6549	8.5%
2	4851	6.3%
3	4611	6.0%
5	4023	5.2%
4	3257	4.2%
7	3216	4.2%
6	3172	4.1%
8	2762	3.6%
9	2053	2.7%

Lowercase Letter

Value	Count	Frequency (%)
i	4903	33.3%
n	4903	33.3%
f	4903	33.3%

Other Punctuation

Value	Count	Frequency (%)
%	20358	56.8%
.	15455	43.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	112533	88.4%
Latin	14709	11.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	42226	37.5%
%	20358	18.1%
.	15455	13.7%
1	6549	5.8%
2	4851	4.3%
3	4611	4.1%
5	4023	3.6%
4	3257	2.9%
7	3216	2.9%
6	3172	2.8%
Other values (2)	4815	4.3%

Latin

Value	Count	Frequency (%)
i	4903	33.3%
n	4903	33.3%
f	4903	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	127242	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	42226	33.2%
%	20358	16.0%
.	15455	12.1%
1	6549	5.1%
i	4903	3.9%
n	4903	3.9%
f	4903	3.9%
2	4851	3.8%
3	4611	3.6%
5	4023	3.2%
Other values (5)	14460	11.4%

log_public_repos
Real number (ℝ)

High correlation Zeros

Distinct	674
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3932475

Minimum	0
Maximum	10.819798
Zeros	964
Zeros (%)	4.7%
Negative	0
Negative (%)	0.0%
Memory size	159.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0.69314718
Q1	2.4849066
median	3.5835189
Q3	4.4308168
95-th percentile	5.5214609
Maximum	10.819798
Range	10.819798
Interquartile range (IQR)	1.9459101

Descriptive statistics

Standard deviation	1.4780875
Coefficient of variation (CV)	0.43559671
Kurtosis	0.061349745
Mean	3.3932475
Median Absolute Deviation (MAD)	0.94446161
Skewness	-0.38450162
Sum	69079.734
Variance	2.1847426
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	964	4.7%
0.6931471806	574	2.8%
1.098612289	473	2.3%
1.386294361	404	2.0%
1.609437912	389	1.9%
1.945910149	377	1.9%
1.791759469	369	1.8%
2.079441542	345	1.7%
2.302585093	323	1.6%
2.197224577	313	1.5%
Other values (664)	15827	77.7%

Value	Count	Frequency (%)
0	964	4.7%
0.6931471806	574	2.8%
1.098612289	473	2.3%
1.386294361	404	2.0%
1.609437912	389	1.9%
1.791759469	369	1.8%
1.945910149	377	1.9%
2.079441542	345	1.7%
2.197224577	313	1.5%
2.302585093	323	1.6%

Value	Count	Frequency (%)
10.81979828	1	< 0.1%
10.23088301	1	< 0.1%
10.17964092	1	< 0.1%
10.02654554	1	< 0.1%
9.937599082	1	< 0.1%
9.765718623	1	< 0.1%
9.740144754	1	< 0.1%
9.731512288	1	< 0.1%
9.176473302	1	< 0.1%
9.164819857	1	< 0.1%

log_public_gists
Real number (ℝ)

High correlation Zeros

Distinct	359
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3680664

Minimum	0
Maximum	10.929207
Zeros	8176
Zeros (%)	40.2%
Negative	0
Negative (%)	0.0%
Memory size	159.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1.0986123
Q3	2.3978953
95-th percentile	4.2046926
Maximum	10.929207
Range	10.929207
Interquartile range (IQR)	2.3978953

Descriptive statistics

Standard deviation	1.491835
Coefficient of variation (CV)	1.0904697
Kurtosis	0.24735254
Mean	1.3680664
Median Absolute Deviation (MAD)	1.0986123
Skewness	0.9258647
Sum	27851.096
Variance	2.2255716
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	8176	40.2%
0.6931471806	1929	9.5%
1.098612289	1192	5.9%
1.386294361	844	4.1%
1.609437912	695	3.4%
1.791759469	643	3.2%
1.945910149	512	2.5%
2.079441542	418	2.1%
2.302585093	337	1.7%
2.197224577	328	1.6%
Other values (349)	5284	26.0%

Value	Count	Frequency (%)
0	8176	40.2%
0.6931471806	1929	9.5%
1.098612289	1192	5.9%
1.386294361	844	4.1%
1.609437912	695	3.4%
1.791759469	643	3.2%
1.945910149	512	2.5%
2.079441542	418	2.1%
2.197224577	328	1.6%
2.302585093	337	1.7%

Value	Count	Frequency (%)
10.92920652	1	< 0.1%
10.89044176	1	< 0.1%
10.27311821	1	< 0.1%
10.19913779	1	< 0.1%
9.647497927	1	< 0.1%
9.269080867	1	< 0.1%
8.146419323	1	< 0.1%
8.061802275	1	< 0.1%
7.850103545	1	< 0.1%
7.467942332	1	< 0.1%

log_followers
Real number (ℝ)

High correlation Zeros

Distinct	1600
Distinct (%)	7.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.5022832

Minimum	0
Maximum	11.469527
Zeros	1476
Zeros (%)	7.3%
Negative	0
Negative (%)	0.0%
Memory size	159.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2.0794415
median	3.5263605
Q3	4.8283137
95-th percentile	6.7171386
Maximum	11.469527
Range	11.469527
Interquartile range (IQR)	2.7488722

Descriptive statistics

Standard deviation	1.9506997
Coefficient of variation (CV)	0.55697943
Kurtosis	-0.29187415
Mean	3.5022832
Median Absolute Deviation (MAD)	1.3291359
Skewness	0.127227
Sum	71299.481
Variance	3.8052294
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1476	7.3%
0.6931471806	822	4.0%
1.098612289	646	3.2%
1.386294361	534	2.6%
1.609437912	461	2.3%
1.791759469	423	2.1%
1.945910149	405	2.0%
2.079441542	356	1.7%
2.197224577	353	1.7%
2.302585093	322	1.6%
Other values (1590)	14560	71.5%

Value	Count	Frequency (%)
0	1476	7.3%
0.6931471806	822	4.0%
1.098612289	646	3.2%
1.386294361	534	2.6%
1.609437912	461	2.3%
1.791759469	423	2.1%
1.945910149	405	2.0%
2.079441542	356	1.7%
2.197224577	353	1.7%
2.302585093	322	1.6%

Value	Count	Frequency (%)
11.46952724	1	< 0.1%
11.35017121	1	< 0.1%
11.10049616	1	< 0.1%
10.97597829	1	< 0.1%
10.34563811	1	< 0.1%
10.31850687	1	< 0.1%
10.2995755	1	< 0.1%
10.28926003	1	< 0.1%
10.25456687	1	< 0.1%
10.15874973	1	< 0.1%

log_following
Real number (ℝ)

High correlation Zeros

Distinct	620
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.8593023

Minimum	0
Maximum	10.231928
Zeros	6189
Zeros (%)	30.4%
Negative	0
Negative (%)	0.0%
Memory size	159.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1.6094379
Q3	3.1354942
95-th percentile	5.0049497
Maximum	10.231928
Range	10.231928
Interquartile range (IQR)	3.1354942

Descriptive statistics

Standard deviation	1.742604
Coefficient of variation (CV)	0.93723543
Kurtosis	-0.26062074
Mean	1.8593023
Median Absolute Deviation (MAD)	1.6094379
Skewness	0.67987396
Sum	37851.676
Variance	3.0366687
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6189	30.4%
0.6931471806	1789	8.8%
1.098612289	1130	5.6%
1.386294361	820	4.0%
1.609437912	621	3.1%
1.791759469	549	2.7%
1.945910149	495	2.4%
2.079441542	417	2.0%
2.197224577	380	1.9%
2.302585093	328	1.6%
Other values (610)	7640	37.5%

Value	Count	Frequency (%)
0	6189	30.4%
0.6931471806	1789	8.8%
1.098612289	1130	5.6%
1.386294361	820	4.0%
1.609437912	621	3.1%
1.791759469	549	2.7%
1.945910149	495	2.4%
2.079441542	417	2.0%
2.197224577	380	1.9%
2.302585093	328	1.6%

Value	Count	Frequency (%)
10.23192762	1	< 0.1%
9.725675811	1	< 0.1%
9.676084944	1	< 0.1%
9.386140712	1	< 0.1%
9.236884927	1	< 0.1%
9.182043773	1	< 0.1%
9.178540059	1	< 0.1%
9.162514742	1	< 0.1%
9.145054905	1	< 0.1%
8.905851181	1	< 0.1%

Interactions

Correlations

	actor_id	followers	following	id	label	log_followers	log_following	log_public_gists	log_public_repos	public_gists	public_repos	site_admin	type
actor_id	1.000	-0.498	-0.260	1.000	0.109	-0.498	-0.260	-0.528	-0.463	-0.528	-0.463	0.018	0.150
followers	-0.498	1.000	0.536	-0.498	0.000	1.000	0.536	0.596	0.651	0.596	0.651	0.000	0.000
following	-0.260	0.536	1.000	-0.260	0.000	0.536	1.000	0.437	0.536	0.437	0.536	0.000	0.000
id	1.000	-0.498	-0.260	1.000	0.109	-0.498	-0.260	-0.528	-0.463	-0.528	-0.463	0.018	0.150
label	0.109	0.000	0.000	0.109	1.000	0.163	0.164	0.140	0.369	0.041	0.018	0.006	0.366
log_followers	-0.498	1.000	0.536	-0.498	0.163	1.000	0.536	0.596	0.651	0.596	0.651	0.081	0.224
log_following	-0.260	0.536	1.000	-0.260	0.164	0.536	1.000	0.437	0.536	0.437	0.536	0.000	0.113
log_public_gists	-0.528	0.596	0.437	-0.528	0.140	0.596	0.437	1.000	0.636	1.000	0.636	0.023	0.091
log_public_repos	-0.463	0.651	0.536	-0.463	0.369	0.651	0.536	0.636	1.000	0.636	1.000	0.023	0.323
public_gists	-0.528	0.596	0.437	-0.528	0.041	0.596	0.437	1.000	0.636	1.000	0.636	0.000	0.000
public_repos	-0.463	0.651	0.536	-0.463	0.018	0.651	0.536	0.636	1.000	0.636	1.000	0.000	0.000
site_admin	0.018	0.000	0.000	0.018	0.006	0.081	0.000	0.023	0.023	0.000	0.000	1.000	0.000
type	0.150	0.000	0.000	0.150	0.366	0.224	0.113	0.091	0.323	0.000	0.000	0.000	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	actor_id	label	login	id	node_id	avatar_url	gravatar_id	url	html_url	followers_url	following_url	gists_url	starred_url	subscriptions_url	organizations_url	repos_url	events_url	received_events_url	type	site_admin	name	company	blog	location	email	hireable	bio	twitter_username	public_repos	public_gists	followers	following	created_at	updated_at	followers_percentage	log_public_repos	log_public_gists	log_followers	log_following
0	1081405	Human	dlazesz	1081405	MDQ6VXNlcjEwODE0MDU=	https://avatars.githubusercontent.com/u/1081405?v=4	NaN	https://api.github.com/users/dlazesz	https://github.com/dlazesz	https://api.github.com/users/dlazesz/followers	https://api.github.com/users/dlazesz/following{/other_user}	https://api.github.com/users/dlazesz/gists{/gist_id}	https://api.github.com/users/dlazesz/starred{/owner}{/repo}	https://api.github.com/users/dlazesz/subscriptions	https://api.github.com/users/dlazesz/orgs	https://api.github.com/users/dlazesz/repos	https://api.github.com/users/dlazesz/events{/privacy}	https://api.github.com/users/dlazesz/received_events	User	False	Indig Balázs	NaN	NaN	NaN	NaN	NaN	NaN	NaN	26	1	5	1	2011-09-26 17:27:03+00:00	2023-10-13T11:21:10Z	500.00%	3.295837	0.693147	1.791759	0.693147
1	13100598	Human	sarkiroka	13100598	MDQ6VXNlcjEzMTAwNTk4	https://avatars.githubusercontent.com/u/13100598?v=4	NaN	https://api.github.com/users/sarkiroka	https://github.com/sarkiroka	https://api.github.com/users/sarkiroka/followers	https://api.github.com/users/sarkiroka/following{/other_user}	https://api.github.com/users/sarkiroka/gists{/gist_id}	https://api.github.com/users/sarkiroka/starred{/owner}{/repo}	https://api.github.com/users/sarkiroka/subscriptions	https://api.github.com/users/sarkiroka/orgs	https://api.github.com/users/sarkiroka/repos	https://api.github.com/users/sarkiroka/events{/privacy}	https://api.github.com/users/sarkiroka/received_events	User	False	sarkiroka	NaN	https://sarkiroka.hu	NaN	NaN	True	I just press the buttons randomly, and the program evolves...	NaN	30	3	9	6	2015-06-29 10:12:46+00:00	2023-10-07T06:26:14Z	150.00%	3.433987	1.386294	2.302585	1.945910
2	22494	Human	ZoomQuiet	22494	MDQ6VXNlcjIyNDk0	https://avatars.githubusercontent.com/u/22494?v=4	NaN	https://api.github.com/users/ZoomQuiet	https://github.com/ZoomQuiet	https://api.github.com/users/ZoomQuiet/followers	https://api.github.com/users/ZoomQuiet/following{/other_user}	https://api.github.com/users/ZoomQuiet/gists{/gist_id}	https://api.github.com/users/ZoomQuiet/starred{/owner}{/repo}	https://api.github.com/users/ZoomQuiet/subscriptions	https://api.github.com/users/ZoomQuiet/orgs	https://api.github.com/users/ZoomQuiet/repos	https://api.github.com/users/ZoomQuiet/events{/privacy}	https://api.github.com/users/ZoomQuiet/received_events	User	False	Zoom.Quiet	蟒营® py.101.camp	http://zoomquiet.io	ZhuHai,China,Earth	NaN	True	Time is unimportant,\r\nonly life important.	zoomq	103	49	1212	221	2008-08-29 16:20:03+00:00	2023-10-02T02:11:21Z	548.00%	4.644391	3.912023	7.100852	5.402677
3	7648032	Bot	AlCutter	7648032	MDQ6VXNlcjc2NDgwMzI=	https://avatars.githubusercontent.com/u/7648032?v=4	NaN	https://api.github.com/users/AlCutter	https://github.com/AlCutter	https://api.github.com/users/AlCutter/followers	https://api.github.com/users/AlCutter/following{/other_user}	https://api.github.com/users/AlCutter/gists{/gist_id}	https://api.github.com/users/AlCutter/starred{/owner}{/repo}	https://api.github.com/users/AlCutter/subscriptions	https://api.github.com/users/AlCutter/orgs	https://api.github.com/users/AlCutter/repos	https://api.github.com/users/AlCutter/events{/privacy}	https://api.github.com/users/AlCutter/received_events	User	False	Al Cutter	NaN	NaN	Sussex, UK	NaN	NaN	NaN	NaN	49	0	84	2	2014-05-20 18:43:09+00:00	2023-10-12T12:54:59Z	4200.00%	3.912023	0.000000	4.442651	1.098612
4	2163522	Human	meetyan	2163522	MDQ6VXNlcjIxNjM1MjI=	https://avatars.githubusercontent.com/u/2163522?v=4	NaN	https://api.github.com/users/meetyan	https://github.com/meetyan	https://api.github.com/users/meetyan/followers	https://api.github.com/users/meetyan/following{/other_user}	https://api.github.com/users/meetyan/gists{/gist_id}	https://api.github.com/users/meetyan/starred{/owner}{/repo}	https://api.github.com/users/meetyan/subscriptions	https://api.github.com/users/meetyan/orgs	https://api.github.com/users/meetyan/repos	https://api.github.com/users/meetyan/events{/privacy}	https://api.github.com/users/meetyan/received_events	User	False	Jiajun Yan	NaN	NaN	NaN	NaN	True	NaN	NaN	11	1	6	2	2012-08-16 14:19:13+00:00	2023-10-06T11:58:41Z	300.00%	2.484907	0.693147	1.945910	1.098612
5	27288824	Human	cooperspencer	27288824	MDQ6VXNlcjI3Mjg4ODI0	https://avatars.githubusercontent.com/u/27288824?v=4	NaN	https://api.github.com/users/cooperspencer	https://github.com/cooperspencer	https://api.github.com/users/cooperspencer/followers	https://api.github.com/users/cooperspencer/following{/other_user}	https://api.github.com/users/cooperspencer/gists{/gist_id}	https://api.github.com/users/cooperspencer/starred{/owner}{/repo}	https://api.github.com/users/cooperspencer/subscriptions	https://api.github.com/users/cooperspencer/orgs	https://api.github.com/users/cooperspencer/repos	https://api.github.com/users/cooperspencer/events{/privacy}	https://api.github.com/users/cooperspencer/received_events	User	False	Andreas Wachter	Alpega	https://www.patreon.com/buddyspencer	Austria	hello@buddyspencer.monster	NaN	Done studying. Need challenges.	BuddySp3nc3r	56	1	22	7	2017-04-11 14:08:07+00:00	2023-10-11T05:59:26Z	314.00%	4.043051	0.693147	3.135494	2.079442
6	5709	Human	goofmint	5709	MDQ6VXNlcjU3MDk=	https://avatars.githubusercontent.com/u/5709?v=4	NaN	https://api.github.com/users/goofmint	https://github.com/goofmint	https://api.github.com/users/goofmint/followers	https://api.github.com/users/goofmint/following{/other_user}	https://api.github.com/users/goofmint/gists{/gist_id}	https://api.github.com/users/goofmint/starred{/owner}{/repo}	https://api.github.com/users/goofmint/subscriptions	https://api.github.com/users/goofmint/orgs	https://api.github.com/users/goofmint/repos	https://api.github.com/users/goofmint/events{/privacy}	https://api.github.com/users/goofmint/received_events	User	False	Atsushi	MOONGIFT	https://moongift.co.jp	Yokohama, Japan	atsushi@moongift.jp	True	Administrator of MOONGIFT that is introducing open source software everyday to Japanese engineers since 2004.	NaN	277	1139	63	16	2008-04-07 22:22:22+00:00	2023-09-27T09:04:56Z	394.00%	5.627621	7.038784	4.158883	2.833213
7	1355668	Human	mhutchinson	1355668	MDQ6VXNlcjEzNTU2Njg=	https://avatars.githubusercontent.com/u/1355668?v=4	NaN	https://api.github.com/users/mhutchinson	https://github.com/mhutchinson	https://api.github.com/users/mhutchinson/followers	https://api.github.com/users/mhutchinson/following{/other_user}	https://api.github.com/users/mhutchinson/gists{/gist_id}	https://api.github.com/users/mhutchinson/starred{/owner}{/repo}	https://api.github.com/users/mhutchinson/subscriptions	https://api.github.com/users/mhutchinson/orgs	https://api.github.com/users/mhutchinson/repos	https://api.github.com/users/mhutchinson/events{/privacy}	https://api.github.com/users/mhutchinson/received_events	User	False	Martin Hutchinson	Google	NaN	London, UK	NaN	NaN	Senior Software Engineer at Google, working on Certificate Transparency and generalized transparency.	NaN	37	1	22	0	2012-01-19 21:57:07+00:00	2023-08-07T16:06:34Z	inf%	3.637586	0.693147	3.135494	0.000000
8	59210087	Human	stfuanu	59210087	MDQ6VXNlcjU5MjEwMDg3	https://avatars.githubusercontent.com/u/59210087?v=4	NaN	https://api.github.com/users/stfuanu	https://github.com/stfuanu	https://api.github.com/users/stfuanu/followers	https://api.github.com/users/stfuanu/following{/other_user}	https://api.github.com/users/stfuanu/gists{/gist_id}	https://api.github.com/users/stfuanu/starred{/owner}{/repo}	https://api.github.com/users/stfuanu/subscriptions	https://api.github.com/users/stfuanu/orgs	https://api.github.com/users/stfuanu/repos	https://api.github.com/users/stfuanu/events{/privacy}	https://api.github.com/users/stfuanu/received_events	User	False	anu	NaN	NaN	NaN	NaN	NaN	NaN	NaN	27	2	37	596	2019-12-24 20:04:33+00:00	2023-10-12T11:55:01Z	6.00%	3.332205	1.098612	3.637586	6.391917
9	5076961	Human	jamieshepherd	5076961	MDQ6VXNlcjUwNzY5NjE=	https://avatars.githubusercontent.com/u/5076961?v=4	NaN	https://api.github.com/users/jamieshepherd	https://github.com/jamieshepherd	https://api.github.com/users/jamieshepherd/followers	https://api.github.com/users/jamieshepherd/following{/other_user}	https://api.github.com/users/jamieshepherd/gists{/gist_id}	https://api.github.com/users/jamieshepherd/starred{/owner}{/repo}	https://api.github.com/users/jamieshepherd/subscriptions	https://api.github.com/users/jamieshepherd/orgs	https://api.github.com/users/jamieshepherd/repos	https://api.github.com/users/jamieshepherd/events{/privacy}	https://api.github.com/users/jamieshepherd/received_events	User	False	Jamie Shepherd	@Wikia	http://jamie.sh	San Francisco	NaN	NaN	Hi	jamiesheep	42	9	14	2	2013-07-23 23:29:34+00:00	2023-10-09T20:47:05Z	700.00%	3.761200	2.302585	2.708050	1.098612

	actor_id	label	login	id	node_id	avatar_url	gravatar_id	url	html_url	followers_url	following_url	gists_url	starred_url	subscriptions_url	organizations_url	repos_url	events_url	received_events_url	type	site_admin	name	company	blog	location	email	hireable	bio	twitter_username	public_repos	public_gists	followers	following	created_at	updated_at	followers_percentage	log_public_repos	log_public_gists	log_followers	log_following
20348	18622487	Bot	G3rrus	18622487	MDQ6VXNlcjE4NjIyNDg3	https://avatars.githubusercontent.com/u/18622487?v=4	NaN	https://api.github.com/users/G3rrus	https://github.com/G3rrus	https://api.github.com/users/G3rrus/followers	https://api.github.com/users/G3rrus/following{/other_user}	https://api.github.com/users/G3rrus/gists{/gist_id}	https://api.github.com/users/G3rrus/starred{/owner}{/repo}	https://api.github.com/users/G3rrus/subscriptions	https://api.github.com/users/G3rrus/orgs	https://api.github.com/users/G3rrus/repos	https://api.github.com/users/G3rrus/events{/privacy}	https://api.github.com/users/G3rrus/received_events	User	False	G3rrus	NaN	NaN	Austria	NaN	NaN	NaN	NaN	10	0	1	0	2016-04-22 22:11:59+00:00	2022-07-07T19:48:21Z	inf%	2.397895	0.000000	0.693147	0.000000
20349	1657783	Human	Hackerpilot	1657783	MDQ6VXNlcjE2NTc3ODM=	https://avatars.githubusercontent.com/u/1657783?v=4	NaN	https://api.github.com/users/Hackerpilot	https://github.com/Hackerpilot	https://api.github.com/users/Hackerpilot/followers	https://api.github.com/users/Hackerpilot/following{/other_user}	https://api.github.com/users/Hackerpilot/gists{/gist_id}	https://api.github.com/users/Hackerpilot/starred{/owner}{/repo}	https://api.github.com/users/Hackerpilot/subscriptions	https://api.github.com/users/Hackerpilot/orgs	https://api.github.com/users/Hackerpilot/repos	https://api.github.com/users/Hackerpilot/events{/privacy}	https://api.github.com/users/Hackerpilot/received_events	User	False	Brian Schott	NaN	NaN	United States	NaN	True	NaN	NaN	37	19	91	6	2012-04-19 03:27:14+00:00	2023-10-07T18:13:52Z	1517.00%	3.637586	2.995732	4.521789	1.945910
20350	45903829	Bot	alvaro-bot	45903829	MDQ6VXNlcjQ1OTAzODI5	https://avatars.githubusercontent.com/u/45903829?v=4	NaN	https://api.github.com/users/alvaro-bot	https://github.com/alvaro-bot	https://api.github.com/users/alvaro-bot/followers	https://api.github.com/users/alvaro-bot/following{/other_user}	https://api.github.com/users/alvaro-bot/gists{/gist_id}	https://api.github.com/users/alvaro-bot/starred{/owner}{/repo}	https://api.github.com/users/alvaro-bot/subscriptions	https://api.github.com/users/alvaro-bot/orgs	https://api.github.com/users/alvaro-bot/repos	https://api.github.com/users/alvaro-bot/events{/privacy}	https://api.github.com/users/alvaro-bot/received_events	User	False	NaN	NaN	NaN	NaN	NaN	NaN	I am the bot account of @alvaroaleman	NaN	1	0	0	0	2018-12-15 19:55:31+00:00	2021-07-27T14:14:25Z	0.00%	0.693147	0.000000	0.000000	0.000000
20351	5902773	Human	thomasbottonari	5902773	MDQ6VXNlcjU5MDI3NzM=	https://avatars.githubusercontent.com/u/5902773?v=4	NaN	https://api.github.com/users/thomasbottonari	https://github.com/thomasbottonari	https://api.github.com/users/thomasbottonari/followers	https://api.github.com/users/thomasbottonari/following{/other_user}	https://api.github.com/users/thomasbottonari/gists{/gist_id}	https://api.github.com/users/thomasbottonari/starred{/owner}{/repo}	https://api.github.com/users/thomasbottonari/subscriptions	https://api.github.com/users/thomasbottonari/orgs	https://api.github.com/users/thomasbottonari/repos	https://api.github.com/users/thomasbottonari/events{/privacy}	https://api.github.com/users/thomasbottonari/received_events	User	False	Tom Bottonari	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3	0	1	0	2013-11-10 16:05:37+00:00	2023-08-31T14:26:08Z	inf%	1.386294	0.000000	0.693147	0.000000
20352	72224629	Human	chrisdlogan	72224629	MDQ6VXNlcjcyMjI0NjI5	https://avatars.githubusercontent.com/u/72224629?v=4	NaN	https://api.github.com/users/chrisdlogan	https://github.com/chrisdlogan	https://api.github.com/users/chrisdlogan/followers	https://api.github.com/users/chrisdlogan/following{/other_user}	https://api.github.com/users/chrisdlogan/gists{/gist_id}	https://api.github.com/users/chrisdlogan/starred{/owner}{/repo}	https://api.github.com/users/chrisdlogan/subscriptions	https://api.github.com/users/chrisdlogan/orgs	https://api.github.com/users/chrisdlogan/repos	https://api.github.com/users/chrisdlogan/events{/privacy}	https://api.github.com/users/chrisdlogan/received_events	User	False	Chris Logan	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	0	0	0	2020-10-01 18:30:32+00:00	2020-12-29T19:45:12Z	0.00%	0.000000	0.000000	0.000000	0.000000
20353	8052756	Bot	tbreeds	8052756	MDQ6VXNlcjgwNTI3NTY=	https://avatars.githubusercontent.com/u/8052756?v=4	NaN	https://api.github.com/users/tbreeds	https://github.com/tbreeds	https://api.github.com/users/tbreeds/followers	https://api.github.com/users/tbreeds/following{/other_user}	https://api.github.com/users/tbreeds/gists{/gist_id}	https://api.github.com/users/tbreeds/starred{/owner}{/repo}	https://api.github.com/users/tbreeds/subscriptions	https://api.github.com/users/tbreeds/orgs	https://api.github.com/users/tbreeds/repos	https://api.github.com/users/tbreeds/events{/privacy}	https://api.github.com/users/tbreeds/received_events	User	False	Tony Breeds	@RedHatOfficial	http://bakeyournoodle.com/	Canberra, ACT, Australia	tony@bakeyournoodle.com	NaN	Tony came to Linux in 1994 and has never looked back. His entire professional career has been spent working with or on Linux. First as a systems administrator	tonybreeds	36	16	11	4	2014-07-02 23:27:34+00:00	2023-08-15T16:38:34Z	275.00%	3.610918	2.833213	2.484907	1.609438
20354	34321341	Human	ssisil	34321341	MDQ6VXNlcjM0MzIxMzQx	https://avatars.githubusercontent.com/u/34321341?v=4	NaN	https://api.github.com/users/ssisil	https://github.com/ssisil	https://api.github.com/users/ssisil/followers	https://api.github.com/users/ssisil/following{/other_user}	https://api.github.com/users/ssisil/gists{/gist_id}	https://api.github.com/users/ssisil/starred{/owner}{/repo}	https://api.github.com/users/ssisil/subscriptions	https://api.github.com/users/ssisil/orgs	https://api.github.com/users/ssisil/repos	https://api.github.com/users/ssisil/events{/privacy}	https://api.github.com/users/ssisil/received_events	User	False	NaN	NaN	NaN	NaN	ssisil@pivotal.io	NaN	NaN	NaN	16	0	3	0	2017-12-06 21:56:31+00:00	2023-07-26T18:32:25Z	inf%	2.833213	0.000000	1.386294	0.000000
20355	15847407	Human	dbfannin	15847407	MDQ6VXNlcjE1ODQ3NDA3	https://avatars.githubusercontent.com/u/15847407?v=4	NaN	https://api.github.com/users/dbfannin	https://github.com/dbfannin	https://api.github.com/users/dbfannin/followers	https://api.github.com/users/dbfannin/following{/other_user}	https://api.github.com/users/dbfannin/gists{/gist_id}	https://api.github.com/users/dbfannin/starred{/owner}{/repo}	https://api.github.com/users/dbfannin/subscriptions	https://api.github.com/users/dbfannin/orgs	https://api.github.com/users/dbfannin/repos	https://api.github.com/users/dbfannin/events{/privacy}	https://api.github.com/users/dbfannin/received_events	User	False	NaN	RealTracs	NaN	Nashville, TN	NaN	NaN	Software engineer at RealTracs.	NaN	13	0	10	1	2015-11-14 14:44:05+00:00	2022-08-23T21:09:49Z	1000.00%	2.639057	0.000000	2.397895	0.693147
20356	94929125	Human	jambayk	94929125	U_kgDOBaiA5Q	https://avatars.githubusercontent.com/u/94929125?v=4	NaN	https://api.github.com/users/jambayk	https://github.com/jambayk	https://api.github.com/users/jambayk/followers	https://api.github.com/users/jambayk/following{/other_user}	https://api.github.com/users/jambayk/gists{/gist_id}	https://api.github.com/users/jambayk/starred{/owner}{/repo}	https://api.github.com/users/jambayk/subscriptions	https://api.github.com/users/jambayk/orgs	https://api.github.com/users/jambayk/repos	https://api.github.com/users/jambayk/events{/privacy}	https://api.github.com/users/jambayk/received_events	User	False	Jambay Kinley	Microsoft	NaN	NaN	jambaykinley@microsoft.com	NaN	NaN	NaN	7	0	2	0	2021-11-23 18:55:29+00:00	2023-10-06T22:50:45Z	inf%	2.079442	0.000000	1.098612	0.000000
20357	18622487	Bot	G3rrus	18622487	MDQ6VXNlcjE4NjIyNDg3	https://avatars.githubusercontent.com/u/18622487?v=4	NaN	https://api.github.com/users/G3rrus	https://github.com/G3rrus	https://api.github.com/users/G3rrus/followers	https://api.github.com/users/G3rrus/following{/other_user}	https://api.github.com/users/G3rrus/gists{/gist_id}	https://api.github.com/users/G3rrus/starred{/owner}{/repo}	https://api.github.com/users/G3rrus/subscriptions	https://api.github.com/users/G3rrus/orgs	https://api.github.com/users/G3rrus/repos	https://api.github.com/users/G3rrus/events{/privacy}	https://api.github.com/users/G3rrus/received_events	User	False	G3rrus	NaN	NaN	Austria	NaN	NaN	NaN	NaN	10	0	1	0	2016-04-22 22:11:59+00:00	2022-07-07T19:48:21Z	inf%	2.397895	0.000000	0.693147	0.000000

Duplicate rows

Most frequently occurring

	actor_id	label	login	id	node_id	avatar_url	url	html_url	followers_url	following_url	gists_url	starred_url	subscriptions_url	organizations_url	repos_url	events_url	received_events_url	type	site_admin	name	company	blog	location	email	hireable	bio	twitter_username	public_repos	public_gists	followers	following	created_at	updated_at	followers_percentage	log_public_repos	log_public_gists	log_followers	log_following	# duplicates
0	5387	Human	weppos	5387	MDQ6VXNlcjUzODc=	https://avatars.githubusercontent.com/u/5387?v=4	https://api.github.com/users/weppos	https://github.com/weppos	https://api.github.com/users/weppos/followers	https://api.github.com/users/weppos/following{/other_user}	https://api.github.com/users/weppos/gists{/gist_id}	https://api.github.com/users/weppos/starred{/owner}{/repo}	https://api.github.com/users/weppos/subscriptions	https://api.github.com/users/weppos/orgs	https://api.github.com/users/weppos/repos	https://api.github.com/users/weppos/events{/privacy}	https://api.github.com/users/weppos/received_events	User	False	Simone Carletti	@dnsimple	https://simonecarletti.com	Rome, Italy	NaN	True	CTO at @dnsimple. Passionate programmer, scuba diving instructor, sommelier. Interested in programming, internet protocols & online security.	weppos	104	26	541	0	2008-04-06 10:44:35+00:00	2023-10-12T23:22:16Z	inf%	4.653960	3.295837	6.295266	0.000000	2
1	8110	Human	nopcoder	8110	MDQ6VXNlcjgxMTA=	https://avatars.githubusercontent.com/u/8110?v=4	https://api.github.com/users/nopcoder	https://github.com/nopcoder	https://api.github.com/users/nopcoder/followers	https://api.github.com/users/nopcoder/following{/other_user}	https://api.github.com/users/nopcoder/gists{/gist_id}	https://api.github.com/users/nopcoder/starred{/owner}{/repo}	https://api.github.com/users/nopcoder/subscriptions	https://api.github.com/users/nopcoder/orgs	https://api.github.com/users/nopcoder/repos	https://api.github.com/users/nopcoder/events{/privacy}	https://api.github.com/users/nopcoder/received_events	User	False	Barak Amar	Treeverse	NaN	Israel	barak.amar@gmail.com	NaN	NaN	nopcoder	30	8	19	52	2008-04-21 23:02:09+00:00	2023-10-13T07:07:30Z	37.00%	3.433987	2.197225	2.995732	3.970292	2
2	22076	Human	pohly	22076	MDQ6VXNlcjIyMDc2	https://avatars.githubusercontent.com/u/22076?v=4	https://api.github.com/users/pohly	https://github.com/pohly	https://api.github.com/users/pohly/followers	https://api.github.com/users/pohly/following{/other_user}	https://api.github.com/users/pohly/gists{/gist_id}	https://api.github.com/users/pohly/starred{/owner}{/repo}	https://api.github.com/users/pohly/subscriptions	https://api.github.com/users/pohly/orgs	https://api.github.com/users/pohly/repos	https://api.github.com/users/pohly/events{/privacy}	https://api.github.com/users/pohly/received_events	User	False	Patrick Ohly	Intel GmbH	http://www.estamos.de/blog/	Germany	patrick.ohly@intel.com	NaN	Senior Software Engineer at Intel	NaN	136	6	107	1	2008-08-26 18:26:39+00:00	2023-10-05T12:39:07Z	10700.00%	4.919981	1.945910	4.682131	0.693147	2
3	29251	Human	beanieboi	29251	MDQ6VXNlcjI5MjUx	https://avatars.githubusercontent.com/u/29251?v=4	https://api.github.com/users/beanieboi	https://github.com/beanieboi	https://api.github.com/users/beanieboi/followers	https://api.github.com/users/beanieboi/following{/other_user}	https://api.github.com/users/beanieboi/gists{/gist_id}	https://api.github.com/users/beanieboi/starred{/owner}{/repo}	https://api.github.com/users/beanieboi/subscriptions	https://api.github.com/users/beanieboi/orgs	https://api.github.com/users/beanieboi/repos	https://api.github.com/users/beanieboi/events{/privacy}	https://api.github.com/users/beanieboi/received_events	User	False	Ben Fritsch	@heroku	https://abwesend.com	Leipzig, Germany	NaN	NaN	hacker at @farbsucht - in love with @twissi, ruby and Vancouver	NaN	146	44	167	123	2008-10-16 09:59:39+00:00	2023-09-19T09:25:44Z	136.00%	4.990433	3.806662	5.123964	4.820282	2
4	30938	Human	sullis	30938	MDQ6VXNlcjMwOTM4	https://avatars.githubusercontent.com/u/30938?v=4	https://api.github.com/users/sullis	https://github.com/sullis	https://api.github.com/users/sullis/followers	https://api.github.com/users/sullis/following{/other_user}	https://api.github.com/users/sullis/gists{/gist_id}	https://api.github.com/users/sullis/starred{/owner}{/repo}	https://api.github.com/users/sullis/subscriptions	https://api.github.com/users/sullis/orgs	https://api.github.com/users/sullis/repos	https://api.github.com/users/sullis/events{/privacy}	https://api.github.com/users/sullis/received_events	User	False	NaN	NaN	NaN	Portland, Oregon, USA	NaN	NaN	NaN	NaN	924	0	84	125	2008-10-25 02:11:11+00:00	2023-10-13T13:44:22Z	67.00%	6.829794	0.000000	4.442651	4.836282	2
5	38219	Human	angoenka	38219	MDQ6VXNlcjM4MjE5	https://avatars.githubusercontent.com/u/38219?v=4	https://api.github.com/users/angoenka	https://github.com/angoenka	https://api.github.com/users/angoenka/followers	https://api.github.com/users/angoenka/following{/other_user}	https://api.github.com/users/angoenka/gists{/gist_id}	https://api.github.com/users/angoenka/starred{/owner}{/repo}	https://api.github.com/users/angoenka/subscriptions	https://api.github.com/users/angoenka/orgs	https://api.github.com/users/angoenka/repos	https://api.github.com/users/angoenka/events{/privacy}	https://api.github.com/users/angoenka/received_events	User	False	Ankur	NaN	NaN	NaN	NaN	NaN	NaN	NaN	14	1	9	0	2008-12-04 06:15:06+00:00	2023-06-15T16:37:19Z	inf%	2.708050	0.693147	2.302585	0.000000	2
6	43312	Human	dhellmann	43312	MDQ6VXNlcjQzMzEy	https://avatars.githubusercontent.com/u/43312?v=4	https://api.github.com/users/dhellmann	https://github.com/dhellmann	https://api.github.com/users/dhellmann/followers	https://api.github.com/users/dhellmann/following{/other_user}	https://api.github.com/users/dhellmann/gists{/gist_id}	https://api.github.com/users/dhellmann/starred{/owner}{/repo}	https://api.github.com/users/dhellmann/subscriptions	https://api.github.com/users/dhellmann/orgs	https://api.github.com/users/dhellmann/repos	https://api.github.com/users/dhellmann/events{/privacy}	https://api.github.com/users/dhellmann/received_events	User	False	Doug Hellmann	Red Hat	http://www.doughellmann.com/	NaN	dhellman@redhat.com	NaN	NaN	NaN	232	23	1035	13	2008-12-30 13:06:04+00:00	2023-10-01T16:36:30Z	7962.00%	5.451038	3.178054	6.943122	2.639057	2
7	45363	Human	mkaz	45363	MDQ6VXNlcjQ1MzYz	https://avatars.githubusercontent.com/u/45363?v=4	https://api.github.com/users/mkaz	https://github.com/mkaz	https://api.github.com/users/mkaz/followers	https://api.github.com/users/mkaz/following{/other_user}	https://api.github.com/users/mkaz/gists{/gist_id}	https://api.github.com/users/mkaz/starred{/owner}{/repo}	https://api.github.com/users/mkaz/subscriptions	https://api.github.com/users/mkaz/orgs	https://api.github.com/users/mkaz/repos	https://api.github.com/users/mkaz/events{/privacy}	https://api.github.com/users/mkaz/received_events	User	False	Marcus Kazmierczak	@Hatch-Baby	https://mkaz.blog	San Francisco, CA	marcus@mkaz.com	NaN	R&D, @hatch-baby	NaN	41	7	393	1	2009-01-09 16:11:51+00:00	2023-07-07T20:06:42Z	39300.00%	3.737670	2.079442	5.976351	0.693147	2
8	47818	Human	frett	47818	MDQ6VXNlcjQ3ODE4	https://avatars.githubusercontent.com/u/47818?v=4	https://api.github.com/users/frett	https://github.com/frett	https://api.github.com/users/frett/followers	https://api.github.com/users/frett/following{/other_user}	https://api.github.com/users/frett/gists{/gist_id}	https://api.github.com/users/frett/starred{/owner}{/repo}	https://api.github.com/users/frett/subscriptions	https://api.github.com/users/frett/orgs	https://api.github.com/users/frett/repos	https://api.github.com/users/frett/events{/privacy}	https://api.github.com/users/frett/received_events	User	False	Daniel Frett	NaN	NaN	NaN	NaN	NaN	NaN	NaN	33	1	32	11	2009-01-20 00:53:39+00:00	2023-10-05T11:18:45Z	291.00%	3.526361	0.693147	3.496508	2.484907	2
9	53059	Human	starswan	53059	MDQ6VXNlcjUzMDU5	https://avatars.githubusercontent.com/u/53059?v=4	https://api.github.com/users/starswan	https://github.com/starswan	https://api.github.com/users/starswan/followers	https://api.github.com/users/starswan/following{/other_user}	https://api.github.com/users/starswan/gists{/gist_id}	https://api.github.com/users/starswan/starred{/owner}{/repo}	https://api.github.com/users/starswan/subscriptions	https://api.github.com/users/starswan/orgs	https://api.github.com/users/starswan/repos	https://api.github.com/users/starswan/events{/privacy}	https://api.github.com/users/starswan/received_events	User	False	Stephen Dicks	Starswan Systems Ltd	NaN	St Albans, England	github@starswan.com	NaN	Senior contrarian Polyglot developer. Always looking to follow tried and trusted techniques (TDD, strong process with quality focus) rather than flash tech.	NaN	7	0	5	0	2009-02-09 16:29:55+00:00	2023-10-08T09:32:10Z	inf%	2.079442	0.000000	1.791759	0.000000	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Decimal Number

Math Symbol

Connector Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Lowercase Letter

Uppercase Letter

Nonspacing Mark

Other Punctuation

Other Symbol

Decimal Number

Modifier Letter

Close Punctuation

Open Punctuation

Spacing Mark

Math Symbol

Space Separator

Connector Punctuation

Dash Punctuation